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B

B - Static variable in class org.ansj.app.crf.Config
 
B - Static variable in class org.ansj.util.Graph
 
b(double) - Method in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
B_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue
 
B_FIELD_NUMBER - Static variable in class org.tensorflow.framework.AttrValue.ListValue
 
backedIterator - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
backedIterator - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
backedIterator - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
backedIterator - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
backedIterator - Variable in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
backend - Static variable in class org.nd4j.linalg.factory.Nd4j
 
BACKEND_DYNAMIC_LOAD_CLASSPATH - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: always - but only if an ND4J backend cannot be found/loaded via standard ServiceLoader mechanisms
Description: Set this environment variable to a set fully qualified JAR files to attempt to load before failing on not loading a backend.
BACKEND_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
 
BACKEND_PRIORITY_CPU - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-native, when multiple backends are on classpath
Description: Defines the priority that the CPU/Native backend should be loaded (or attempt to be loaded).
BACKEND_PRIORITY_CPU - Static variable in class org.nd4j.linalg.factory.Nd4jBackend
 
BACKEND_PRIORITY_GPU - Static variable in class org.nd4j.config.ND4JEnvironmentVars
Applicability: nd4j-cuda-xx, when multiple backends are on classpath
Description: Defines the priority that the CUDA (GPU) backend should be loaded (or attempt to be loaded).
BACKEND_PRIORITY_GPU - Static variable in class org.nd4j.linalg.factory.Nd4jBackend
 
backendIterator - Variable in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
backendIterator - Variable in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
backgroundColor(String) - Method in class org.datavec.api.transform.ui.components.RenderableComponentTable.Builder
 
backgroundColor - Variable in class org.deeplearning4j.ui.api.Style
 
backgroundColor - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
backgroundColor(Color) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
backgroundColor(String) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
backgroundColor(Color) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
backgroundColor(String) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
backingMap - Variable in class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
 
backingQueue - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
backprop - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
backprop(boolean) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
backprop(ParameterSpace<Boolean>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
backprop - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
backprop - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
backprop(boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Whether to do back prop (standard supervised learning) or not
backprop(INDArray, INDArray, int, int) - Method in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
backprop(INDArray, INDArray, int, int) - Method in class org.deeplearning4j.nn.conf.dropout.Dropout
 
backprop(INDArray, INDArray) - Method in interface org.deeplearning4j.nn.conf.dropout.DropoutHelper
 
backprop(INDArray, INDArray, int, int) - Method in class org.deeplearning4j.nn.conf.dropout.GaussianDropout
 
backprop(INDArray, INDArray, int, int) - Method in class org.deeplearning4j.nn.conf.dropout.GaussianNoise
 
backprop(INDArray, INDArray, int, int) - Method in interface org.deeplearning4j.nn.conf.dropout.IDropout
Perform backprop.
backprop(INDArray, INDArray, int, int) - Method in class org.deeplearning4j.nn.conf.dropout.SpatialDropout
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.conf.InputPreProcessor
Reverse the preProcess during backprop.
backprop - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
backprop - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
backprop(boolean) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
Whether to do back prop or not
backprop(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor
 
backprop(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.dropout.CudnnDropoutHelper
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.KerasFlattenRnnPreprocessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.PermutePreprocessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.ReshapePreprocessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
backprop - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
backprop(boolean) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
backprop(INDArray, INDArray) - Method in interface org.nd4j.linalg.activations.IActivation
Backpropagate the errors through the activation function, given input z and epsilon dL/da.
Returns 2 INDArrays:
(a) The gradient dL/dz, calculated from dL/da, and
(b) The parameter gradients dL/dW, where w is the weights in the activation function.
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationCube
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationELU
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationHardSigmoid
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationHardTanH
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationIdentity
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationLReLU
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationPReLU
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationRationalTanh
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationRectifiedTanh
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationReLU6
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationRReLU
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSELU
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSigmoid
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftmax
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftPlus
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSoftSign
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationSwish
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationTanH
 
backprop(INDArray, INDArray) - Method in class org.nd4j.linalg.activations.impl.ActivationThresholdedReLU
 
backpropDropOutIfPresent(INDArray) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Layer
Calculate the gradient relative to the error in the next layer
backpropGradient(INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate the gradient of the network with respect to some external errors.
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution3DLayer
 
backpropGradient(INDArray, INDArray, INDArray, int[], int[], int[], INDArray, INDArray, IActivation, ConvolutionLayer.AlgoMode, ConvolutionLayer.BwdFilterAlgo, ConvolutionLayer.BwdDataAlgo, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.convolution.ConvolutionHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
backpropGradient(INDArray, INDArray, INDArray, int[], int[], int[], INDArray, INDArray, IActivation, ConvolutionLayer.AlgoMode, ConvolutionLayer.BwdFilterAlgo, ConvolutionLayer.BwdDataAlgo, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
backpropGradient(INDArray, INDArray, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling1DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
backpropGradient(INDArray, INDArray, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.elementwise.ElementWiseMultiplicationLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.PReLU
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
backpropGradient(INDArray, INDArray, int[], INDArray, INDArray, INDArray, double, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.normalization.BatchNormalizationHelper
 
backpropGradient(INDArray, INDArray, int[], INDArray, INDArray, INDArray, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper
 
backpropGradient(INDArray, INDArray, double, double, double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
backpropGradient(INDArray, INDArray, double, double, double, double, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.normalization.LocalResponseNormalizationHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
backpropGradient(NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, int, FwdPassReturn, boolean, String, String, String, Map<String, INDArray>, INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
Deprecated.
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
backpropGradient(NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, int, FwdPassReturn, boolean, String, String, String, Map<String, INDArray>, INDArray, boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.recurrent.LSTMHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.RepeatVector
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffOutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.util.MaskLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
backpropGradientHelper(NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, int, FwdPassReturn, boolean, String, String, String, Map<String, INDArray>, INDArray, boolean, LSTMHelper, LayerWorkspaceMgr) - Static method in class org.deeplearning4j.nn.layers.recurrent.LSTMHelpers
 
backpropType - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
backpropType(BackpropType) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
backpropType(ParameterSpace<BackpropType>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
BackpropType - Enum in org.deeplearning4j.nn.conf
Defines the type of backpropagation.
backpropType - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
backpropType - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
backpropType(BackpropType) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
The type of backprop.
backpropType - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
backpropType - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
backpropType(BackpropType) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
The type of backprop.
backpropType - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
backpropType(BackpropType) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
The type of backprop.
BackTrackLineSearch - Class in org.deeplearning4j.optimize.solvers
 
BackTrackLineSearch(Model, StepFunction, ConvexOptimizer) - Constructor for class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
BackTrackLineSearch(Model, ConvexOptimizer) - Constructor for class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
BACKWARD_ONLY - Static variable in class org.nd4j.graph.Direction
 
BACKWARD_PREFIX - Static variable in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
BAD_CONSUMERS_FIELD_NUMBER - Static variable in class org.tensorflow.framework.VersionDef
 
BagOfWordsVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
 
BagOfWordsVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
 
BagOfWordsVectorizer.Builder - Class in org.deeplearning4j.bagofwords.vectorizer
 
balance() - Method in class org.nd4j.linalg.dataset.BalanceMinibatches
Generate a balanced dataset minibatch fileset.
BalancedPartitioner - Class in org.deeplearning4j.spark.impl.common.repartition
This is a custom partitioner to repartition a RDD.
BalancedPartitioner(int, int, int) - Constructor for class org.deeplearning4j.spark.impl.common.repartition.BalancedPartitioner
 
BalancedPathFilter - Class in org.datavec.api.io.filters
Randomizes the order of paths in an array and removes paths randomly to have the same number of paths for each label.
BalancedPathFilter(Random, String[], PathLabelGenerator) - Constructor for class org.datavec.api.io.filters.BalancedPathFilter
Calls this(random, extensions, labelGenerator, 0, 0, 0, 0).
BalancedPathFilter(Random, PathLabelGenerator, long) - Constructor for class org.datavec.api.io.filters.BalancedPathFilter
Calls this(random, null, labelGenerator, 0, 0, 0, maxPathsPerLabel).
BalancedPathFilter(Random, String[], PathLabelGenerator, long) - Constructor for class org.datavec.api.io.filters.BalancedPathFilter
Calls this(random, extensions, labelGenerator, 0, 0, 0, maxPathsPerLabel).
BalancedPathFilter(Random, PathLabelGenerator, long, long, long) - Constructor for class org.datavec.api.io.filters.BalancedPathFilter
Calls this(random, extensions, labelGenerator, 0, maxLabels, 0, maxPathsPerLabel).
BalancedPathFilter(Random, String[], PathLabelGenerator, long, long) - Constructor for class org.datavec.api.io.filters.BalancedPathFilter
Calls this(random, extensions, labelGenerator, 0, maxLabels, 0, maxPathsPerLabel).
BalancedPathFilter(Random, String[], PathLabelGenerator, long, long, long, long, String...) - Constructor for class org.datavec.api.io.filters.BalancedPathFilter
Constructs an instance of the PathFilter.
balancedRandomSplit(int, int, JavaRDD<T>) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Random split the specified RDD into a number of RDDs, where each has numObjectsPerSplit in them.
balancedRandomSplit(int, int, JavaRDD<T>, long) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Equivalent to SparkUtils.balancedRandomSplit(int, int, JavaRDD) with control over the RNG seed
balancedRandomSplit(int, int, JavaPairRDD<T, U>) - Static method in class org.deeplearning4j.spark.util.SparkUtils
balancedRandomSplit(int, int, JavaPairRDD<T, U>, long) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Equivalent to SparkUtils.balancedRandomSplit(int, int, JavaRDD) but for pair RDDs, and with control over the RNG seed
BalanceMinibatches - Class in org.nd4j.linalg.dataset
Auto balance mini batches by label.
BalanceMinibatches() - Constructor for class org.nd4j.linalg.dataset.BalanceMinibatches
 
Balancer - Interface in org.nd4j.jita.balance
Deprecated.
banDevice(Integer) - Method in class org.nd4j.jita.conf.Configuration
This method allows you to ban specific device.
BarnesHutTsne - Class in org.deeplearning4j.plot
Barnes hut algorithm for TSNE, uses a dual tree approximation approach.
BarnesHutTsne(int, String, double, boolean, int, double, double, double, double, int, boolean, int, double, double, boolean, double, TrainingListener, double, int) - Constructor for class org.deeplearning4j.plot.BarnesHutTsne
 
BarnesHutTsne(int, String, double, boolean, int, double, double, double, double, int, boolean, int, double, double, boolean, double, TrainingListener, double, int, WorkspaceMode) - Constructor for class org.deeplearning4j.plot.BarnesHutTsne
 
BarnesHutTsne.Builder - Class in org.deeplearning4j.plot
 
barrier - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
barrier - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
barrier - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
BARTLETT - Static variable in class org.datavec.audio.dsp.WindowFunction
 
Base64NDArrayBody - Class in org.datavec.spark.transform.model
Created by agibsonccc on 12/24/16.
Base64NDArrayBody() - Constructor for class org.datavec.spark.transform.model.Base64NDArrayBody
 
Base64NDArrayBody - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 12/24/16.
Base64NDArrayBody() - Constructor for class org.deeplearning4j.nearestneighbor.model.Base64NDArrayBody
 
base64String(INDArray) - Static method in class org.nd4j.serde.base64.Nd4jBase64
Returns an ndarray as base 64
base64StringNumpy(INDArray) - Static method in class org.nd4j.serde.base64.Nd4jBase64
Convert an INDArray to numpy byte array using Nd4j.toNpyByteArray(INDArray)
BASE_DIR - Static variable in class org.datavec.image.loader.BaseImageLoader
 
BASE_FORM - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
BaseAccumulation - Class in org.nd4j.linalg.api.ops
Base class for accumulation, initiates the initial entry with respect to the child class.
BaseAccumulation(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation(SameDiff, SDVariable, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation(SameDiff, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation() - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
Initialize with the given input, pairwise transform, result, and number of elements
BaseAccumulation(INDArray, INDArray, INDArray, boolean, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseAccumulation(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseAccumulation
 
BaseActivationFunction - Class in org.nd4j.linalg.activations
Base IActivation for activation functions without parameters
BaseActivationFunction() - Constructor for class org.nd4j.linalg.activations.BaseActivationFunction
 
BaseAggregate - Class in org.nd4j.linalg.api.ops.aggregates
 
BaseAggregate() - Constructor for class org.nd4j.linalg.api.ops.aggregates.BaseAggregate
 
BaseAggregation - Class in org.nd4j.parameterserver.distributed.messages.aggregations
 
BaseAggregation() - Constructor for class org.nd4j.parameterserver.distributed.messages.aggregations.BaseAggregation
 
BaseAggregation(long, short, short) - Constructor for class org.nd4j.parameterserver.distributed.messages.aggregations.BaseAggregation
 
BaseAnalysis - Class in org.ansj.splitWord.analysis
基本的分词.只做了.ngram模型.和数字发现.其他一律不管
BaseAnalysis() - Constructor for class org.ansj.splitWord.analysis.BaseAnalysis
 
BaseAnalysis(Reader) - Constructor for class org.ansj.splitWord.analysis.BaseAnalysis
 
BaseArithmeticBackpropOp - Class in org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp
Base arithmetic backprop operation
BaseArithmeticBackpropOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.BaseArithmeticBackpropOp
 
BaseArithmeticBackpropOp(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.arithmetic.bp.BaseArithmeticBackpropOp
 
BaseAudioRecordReader - Class in org.datavec.audio.recordreader
Base audio file loader
BaseAudioRecordReader() - Constructor for class org.datavec.audio.recordreader.BaseAudioRecordReader
 
BaseAudioRecordReader(boolean, List<String>) - Constructor for class org.datavec.audio.recordreader.BaseAudioRecordReader
 
BaseAudioRecordReader(List<String>) - Constructor for class org.datavec.audio.recordreader.BaseAudioRecordReader
 
BaseAudioRecordReader(boolean) - Constructor for class org.datavec.audio.recordreader.BaseAudioRecordReader
 
BaseBlasWrapper - Class in org.nd4j.linalg.factory
Base implementation of a blas wrapper that delegates things to the underlying level.
BaseBlasWrapper() - Constructor for class org.nd4j.linalg.factory.BaseBlasWrapper
 
BaseBroadcastOp - Class in org.nd4j.linalg.api.ops
 
BaseBroadcastOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
BaseBroadcastOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
BaseBroadcastOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
BaseBroadcastOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
BaseBroadcastOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
BaseBroadcastOp(SameDiff, SDVariable, int[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
BaseBroadcastOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
BaseBroadcastOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
BaseBroadcastOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.BaseBroadcastOp
 
BaseCandidateGenerator<T> - Class in org.deeplearning4j.arbiter.optimize.generator
BaseCandidateGenerator: abstract class upon which RandomSearchGenerator and GridSearchCandidateGenerator are built.
BaseCandidateGenerator(ParameterSpace<T>, Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.arbiter.optimize.generator.BaseCandidateGenerator
 
BaseClusteringAlgorithm - Class in org.deeplearning4j.clustering.algorithm
adapted to ndarray matrices
BaseClusteringAlgorithm(ClusteringStrategy) - Constructor for class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
BaseClusteringStrategy - Class in org.deeplearning4j.clustering.strategy
 
BaseClusteringStrategy(ClusteringStrategyType, Integer, String, boolean, boolean) - Constructor for class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
BaseClusteringStrategy(ClusteringStrategyType, int, String, boolean) - Constructor for class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
BaseCodecRecordReader - Class in org.datavec.codec.reader
Codec record reader for parsing videos
BaseCodecRecordReader() - Constructor for class org.datavec.codec.reader.BaseCodecRecordReader
 
BaseCollectionStatsStorage - Class in org.deeplearning4j.ui.storage
An implementation of the StatsStorage interface, backed by MapDB
BaseCollectionStatsStorage() - Constructor for class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
BaseCollectionStatsStorage.SessionTypeId - Class in org.deeplearning4j.ui.storage
 
BaseCollectionStatsStorage.SessionTypeWorkerId - Class in org.deeplearning4j.ui.storage
 
BaseColumnComparator - Class in org.datavec.api.transform.sequence.comparator
Compare/sort a sequence by the values of a specific column
BaseColumnComparator(String) - Constructor for class org.datavec.api.transform.sequence.comparator.BaseColumnComparator
 
BaseColumnCondition - Class in org.datavec.api.transform.condition.column
Abstract class for column conditions
BaseColumnCondition(String, SequenceConditionMode) - Constructor for class org.datavec.api.transform.condition.column.BaseColumnCondition
 
BaseColumnFilter - Class in org.datavec.api.transform.filter
Abstract class for filtering examples based on the values in a single column
BaseColumnFilter(String) - Constructor for class org.datavec.api.transform.filter.BaseColumnFilter
 
BaseColumnMetaData - Class in org.datavec.api.transform.metadata
Created by Alex on 18/07/2016.
BaseColumnMetaData(String) - Constructor for class org.datavec.api.transform.metadata.BaseColumnMetaData
 
BaseColumnsMathOpTransform - Class in org.datavec.api.transform.transform
Base class for multiple column math operations.
BaseColumnsMathOpTransform(String, MathOp, String...) - Constructor for class org.datavec.api.transform.transform.BaseColumnsMathOpTransform
 
BaseColumnTransform - Class in org.datavec.api.transform.transform
Map the values in a single column to new values.
BaseColumnTransform(String) - Constructor for class org.datavec.api.transform.transform.BaseColumnTransform
 
BaseCompatOp - Class in org.nd4j.linalg.api.ops.impl.controlflow.compat
 
BaseCompatOp() - Constructor for class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp
 
BaseCompleteMessage - Class in org.nd4j.parameterserver.distributed.messages.complete
This message contains information about finished computations for specific batch, being sent earlier
BaseCompleteMessage() - Constructor for class org.nd4j.parameterserver.distributed.messages.complete.BaseCompleteMessage
 
BaseCompleteMessage(int) - Constructor for class org.nd4j.parameterserver.distributed.messages.complete.BaseCompleteMessage
 
BaseCondition - Class in org.nd4j.linalg.indexing.conditions
Created by agibsonccc on 10/8/14.
BaseCondition(Number) - Constructor for class org.nd4j.linalg.indexing.conditions.BaseCondition
 
BaseConstraint - Class in org.deeplearning4j.nn.conf.constraint
 
BaseConstraint() - Constructor for class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
BaseConstraint(Set<String>, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
BaseConvBuilder(int[], int[], int[], int[], int) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[], int[], int) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[], int) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int, int...) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder() - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvolution - Class in org.nd4j.linalg.convolution
Base convolution implementation
BaseConvolution() - Constructor for class org.nd4j.linalg.convolution.BaseConvolution
 
BaseConvolutionConfig - Class in org.nd4j.linalg.api.ops.impl.layers.convolution.config
 
BaseConvolutionConfig() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.config.BaseConvolutionConfig
 
BaseConvolutionLayerSpace<T extends FeedForwardLayer> - Class in org.deeplearning4j.arbiter.layers
Layer space for convolutional layers
BaseConvolutionLayerSpace(BaseConvolutionLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.BaseConvolutionLayerSpace
 
BaseConvolutionLayerSpace.Builder<T> - Class in org.deeplearning4j.arbiter.layers
 
BaseCudaDataBuffer - Class in org.nd4j.linalg.jcublas.buffer
Base class for a data buffer CUDA implementation for DataBuffer always uses JavaCPP as allocationMode, and device access is masked by appropriate allocator mover implementation.
BaseCudaDataBuffer() - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(Pointer, Indexer, long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
Meant for creating another view of a buffer
BaseCudaDataBuffer(float[], boolean) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(float[], boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(float[], boolean, long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(double[], boolean, long, MemoryWorkspace) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(float[], boolean, long, MemoryWorkspace) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(double[], boolean) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(double[], boolean, long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(int[], boolean) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(int[], boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(int[], boolean, long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(int[], boolean, long, MemoryWorkspace) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(long, int, boolean) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(long, int, boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(long, int) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
Base constructor.
BaseCudaDataBuffer(long, int, MemoryWorkspace) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(long, int, long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(DataBuffer, long, long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(float[]) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(int[]) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(long[]) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(long[], boolean) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(double[]) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(byte[], long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(ByteBuffer, long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudaDataBuffer(ByteBuffer, long, long) - Constructor for class org.nd4j.linalg.jcublas.buffer.BaseCudaDataBuffer
 
BaseCudnnHelper - Class in org.deeplearning4j.nn.layers
Functionality shared by all cuDNN-based helpers.
BaseCudnnHelper() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
BaseCudnnHelper.CudnnContext - Class in org.deeplearning4j.nn.layers
 
BaseCudnnHelper.CudnnContext.Deallocator - Class in org.deeplearning4j.nn.layers
 
BaseCudnnHelper.DataCache - Class in org.deeplearning4j.nn.layers
 
BaseCudnnHelper.TensorArray - Class in org.deeplearning4j.nn.layers
 
BaseCurve - Class in org.deeplearning4j.eval.curves
Abstract class for ROC and Precision recall curves
BaseCurve() - Constructor for class org.deeplearning4j.eval.curves.BaseCurve
 
BaseDataBuffer - Class in org.nd4j.linalg.api.buffer
Base class for a data buffer handling basic byte operations among other things.
BaseDataBuffer() - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(Pointer, Indexer, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
Meant for creating another view of a buffer
BaseDataBuffer(DataBuffer, long, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
Meant for creating another view of a buffer
BaseDataBuffer(float[], boolean, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(float[], boolean, long, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(float[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(float[], boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(double[], boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(int[], boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(long[], boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(double[], boolean, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(double[], boolean, long, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(double[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(int[], boolean, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(int[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(long[], boolean) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(double[]) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(int[]) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(float[]) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(float[], MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(int, int, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(long, int) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(ByteBuffer, long, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
Create a data buffer from the given length
BaseDataBuffer(ByteBuffer, long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
Create a data buffer from the given length
BaseDataBuffer(byte[], long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(long) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
Instantiate a buffer with the given length
BaseDataBuffer(long, boolean) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataBuffer(long, boolean, MemoryWorkspace) - Constructor for class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
BaseDataFetcher - Class in org.nd4j.linalg.dataset.api.iterator.fetcher
A base class for assisting with creation of matrices with the data transform fetcher
BaseDataFetcher() - Constructor for class org.nd4j.linalg.dataset.api.iterator.fetcher.BaseDataFetcher
 
BaseDatasetIterator - Class in org.deeplearning4j.datasets.iterator
Baseline implementation includes control over the data fetcher and some basic getters for metadata
BaseDatasetIterator(int, int, BaseDataFetcher) - Constructor for class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
BaseDataSetIterator<T> - Class in org.deeplearning4j.spark.iterator
Created by huitseeker on 2/15/17.
BaseDataSetIterator() - Constructor for class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
BaseDatasetIterator - Class in org.nd4j.linalg.dataset.api.iterator
Baseline implementation includes control over the data fetcher and some basic getters for metadata
BaseDatasetIterator(int, int, DataSetFetcher) - Constructor for class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
BaseDistribution - Class in org.nd4j.linalg.api.rng.distribution
Base distribution derived from apache commons math http://commons.apache.org/proper/commons-math/

(specifically the AbstractRealDistribution

BaseDistribution(Random) - Constructor for class org.nd4j.linalg.api.rng.distribution.BaseDistribution
 
BaseDistribution() - Constructor for class org.nd4j.linalg.api.rng.distribution.BaseDistribution
 
BaseDoubleFlatMapFunctionAdaptee<T> - Class in org.deeplearning4j.spark.util
DoubleFlatMapFunction adapter to hide incompatibilities between Spark 1.x and Spark 2.x This class should be used instead of direct referral to DoubleFlatMapFunction
BaseDoubleFlatMapFunctionAdaptee(FlatMapFunctionAdapter<T, Double>) - Constructor for class org.deeplearning4j.spark.util.BaseDoubleFlatMapFunctionAdaptee
 
BaseDoubleTransform - Class in org.datavec.api.transform.transform.doubletransform
 
BaseDoubleTransform(String) - Constructor for class org.datavec.api.transform.transform.doubletransform.BaseDoubleTransform
 
BaseDynamicTransformOp - Class in org.nd4j.linalg.api.ops.impl.transforms
 
BaseDynamicTransformOp() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp
 
BaseDynamicTransformOp(SameDiff, SDVariable[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp
 
BaseDynamicTransformOp(INDArray[], INDArray[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BaseDynamicTransformOp
 
BaseEarlyStoppingTrainer<T extends Model> - Class in org.deeplearning4j.earlystopping.trainer
Base/abstract class for conducting early stopping training locally (single machine).
Can be used to train a MultiLayerNetwork or a ComputationGraph via early stopping
BaseEarlyStoppingTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, EarlyStoppingListener<T>) - Constructor for class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
BaseEvaluation<T extends BaseEvaluation> - Class in org.deeplearning4j.eval
BaseEvaluation implement common evaluation functionality (for time series, etc) for Evaluation, RegressionEvaluation, ROC, ROCMultiClass etc.
BaseEvaluation() - Constructor for class org.deeplearning4j.eval.BaseEvaluation
 
BaseEventStats - Class in org.deeplearning4j.spark.stats
Created by Alex on 26/06/2016.
BaseEventStats(long, long) - Constructor for class org.deeplearning4j.spark.stats.BaseEventStats
 
BaseEventStats(String, String, long, long, long) - Constructor for class org.deeplearning4j.spark.stats.BaseEventStats
 
BaseFileIterator<T,P> - Class in org.deeplearning4j.datasets.iterator.file
Base class for loading DataSet objects from file
BaseFileIterator(File, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
BaseFileIterator(File[], boolean, Random, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
BaseFlatMapFunctionAdaptee<K,V> - Class in org.datavec.local.transforms
This class should be used instead of direct referral to FlatMapFunction
BaseFlatMapFunctionAdaptee(FlatMapFunctionAdapter<K, V>) - Constructor for class org.datavec.local.transforms.BaseFlatMapFunctionAdaptee
 
BaseFlatMapFunctionAdaptee<K,V> - Class in org.datavec.spark.transform
FlatMapFunction adapter to hide incompatibilities between Spark 1.x and Spark 2.x This class should be used instead of direct referral to FlatMapFunction
BaseFlatMapFunctionAdaptee(FlatMapFunctionAdapter<K, V>) - Constructor for class org.datavec.spark.transform.BaseFlatMapFunctionAdaptee
 
BaseFloatTransform - Class in org.datavec.api.transform.transform.floattransform
 
BaseFloatTransform(String) - Constructor for class org.datavec.api.transform.transform.floattransform.BaseFloatTransform
 
BaseGradientOp - Class in org.nd4j.linalg.api.ops
A gradient op always makes the following assumptions: there is always a y (beacuse of backpropagating or using the chain rule) and that it is special exec (for now) This op opType sis meant to be used to build derivative operations.
BaseGradientOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseGradientOp
 
BaseGradientOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseGradientOp
 
BaseGradientOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseGradientOp
 
BaseGradientOp() - Constructor for class org.nd4j.linalg.api.ops.BaseGradientOp
 
BaseGradientOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseGradientOp
 
BaseGradientOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseGradientOp
 
BaseGradientOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseGradientOp
 
BaseGraph<V,E> - Class in org.deeplearning4j.graph.api
 
BaseGraph() - Constructor for class org.deeplearning4j.graph.api.BaseGraph
 
BaseGraphMapper<GRAPH_TYPE,NODE_TYPE,ATTR_TYPE,TENSOR_TYPE> - Class in org.nd4j.imports.graphmapper
Base implementation for importing a graph
BaseGraphMapper() - Constructor for class org.nd4j.imports.graphmapper.BaseGraphMapper
 
BaseGraphVertex - Class in org.deeplearning4j.nn.graph.vertex
BaseGraphVertex defines a set of common functionality for GraphVertex instances.
BaseGraphVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
BaseGridOp - Class in org.nd4j.linalg.api.ops.impl.grid
 
BaseGridOp() - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
 
BaseGridOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
 
BaseGridOp(Op...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
 
BaseGridOp(OpDescriptor...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
 
BaseGridOp(GridPointers...) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
 
BaseGridOp(List<Op>) - Constructor for class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp
 
BaseHistogram - Class in org.deeplearning4j.eval.curves
Created by Alex on 06/07/2017.
BaseHistogram() - Constructor for class org.deeplearning4j.eval.curves.BaseHistogram
 
BaseIEvaluationScoreCalculator<T extends Model,U extends IEvaluation> - Class in org.deeplearning4j.earlystopping.scorecalc.base
Base score function based on an IEvaluation instance.
BaseIEvaluationScoreCalculator(MultiDataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
BaseIEvaluationScoreCalculator(DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
BaseImageLoader - Class in org.datavec.image.loader
Created by nyghtowl on 12/17/15.
BaseImageLoader() - Constructor for class org.datavec.image.loader.BaseImageLoader
 
BaseImageLoader.MultiPageMode - Enum in org.datavec.image.loader
 
BaseImageRecordReader - Class in org.datavec.image.recordreader
Base class for the image record reader
BaseImageRecordReader() - Constructor for class org.datavec.image.recordreader.BaseImageRecordReader
 
BaseImageRecordReader(long, long, long, PathLabelGenerator) - Constructor for class org.datavec.image.recordreader.BaseImageRecordReader
 
BaseImageRecordReader(long, long, long, PathMultiLabelGenerator) - Constructor for class org.datavec.image.recordreader.BaseImageRecordReader
 
BaseImageRecordReader(long, long, long, PathLabelGenerator, ImageTransform) - Constructor for class org.datavec.image.recordreader.BaseImageRecordReader
 
BaseImageRecordReader(long, long, long, PathLabelGenerator, PathMultiLabelGenerator, ImageTransform) - Constructor for class org.datavec.image.recordreader.BaseImageRecordReader
 
BaseImageTransform<F> - Class in org.datavec.image.transform
Implements the ImageTransform interface by providing its subclasses with a random object to use in the case of random transformations.
BaseImageTransform(Random) - Constructor for class org.datavec.image.transform.BaseImageTransform
 
BaseIndexAccumulation - Class in org.nd4j.linalg.api.ops
Index based reduction algo
BaseIndexAccumulation(SameDiff, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
BaseIndexAccumulation(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
BaseIndexAccumulation() - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
BaseIndexAccumulation(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
Initialize with the given input, pairwise transform, result, and number of elements
BaseIndexAccumulation(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
BaseIndexAccumulation(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
BaseIndexAccumulation(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
BaseInputFormat - Class in org.datavec.api.formats.input
 
BaseInputFormat() - Constructor for class org.datavec.api.formats.input.BaseInputFormat
 
BaseInputPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
 
BaseInputPreProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.BaseInputPreProcessor
 
BaseInputSplit - Class in org.datavec.api.split
Base input split
BaseInputSplit() - Constructor for class org.datavec.api.split.BaseInputSplit
 
BaseIntegerTransform - Class in org.datavec.api.transform.transform.integer
Abstract integer transformation (single column)
BaseIntegerTransform(String) - Constructor for class org.datavec.api.transform.transform.integer.BaseIntegerTransform
 
BaseJavaPersistable - Class in org.deeplearning4j.arbiter.ui.data
Common implementation
BaseJavaPersistable(BaseJavaPersistable.Builder) - Constructor for class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable
 
BaseJavaPersistable() - Constructor for class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable
 
BaseJavaPersistable.Builder<T extends BaseJavaPersistable.Builder<T>> - Class in org.deeplearning4j.arbiter.ui.data
 
BaseLabels - Class in org.deeplearning4j.zoo.util
Base functionality for helper classes that return label descriptions.
BaseLabels() - Constructor for class org.deeplearning4j.zoo.util.BaseLabels
Override BaseLabels.getLabels() when using this constructor.
BaseLabels(String) - Constructor for class org.deeplearning4j.zoo.util.BaseLabels
No need to override anything with this constructor.
BaseLapack - Class in org.nd4j.linalg.api.blas.impl
Base lapack define float and double versions.
BaseLapack() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLapack
 
BaseLayer - Class in org.deeplearning4j.nn.conf.layers
A neural network layer.
BaseLayer(BaseLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseLayer
 
BaseLayer<LayerConfT extends BaseLayer> - Class in org.deeplearning4j.nn.layers
A layer with parameters
BaseLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.BaseLayer
 
BaseLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.BaseLayer
 
BaseLayer.Builder<T extends BaseLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BaseLayerSpace<L extends BaseLayer> - Class in org.deeplearning4j.arbiter.layers
BaseLayerSpace contains the common Layer hyperparameters; should match BaseLayer in terms of features
BaseLayerSpace(BaseLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
BaseLayerSpace.Builder<T> - Class in org.deeplearning4j.arbiter.layers
 
BaseLegacyDeserializer<T> - Class in org.nd4j.serde.json
A base deserialization class used to handle deserializing of a specific class given changes from subtype wrapper format to class field format.
That is: from...
{@code @JsonTypeInfo(use = JsonTypeInfo.Id.NAME, include = JsonTypeInfo.As.WRAPPER_OBJECT)}
{@code @JsonSubTypes(value = {@JsonSubTypes.Type(value = LossBinaryXENT.class, name = "BinaryXENT"),}...}

to

{@code @JsonTypeInfo(use = JsonTypeInfo.Id.CLASS, include = JsonTypeInfo.As.PROPERTY, property = "@class")}
BaseLegacyDeserializer() - Constructor for class org.nd4j.serde.json.BaseLegacyDeserializer
 
BaseLevel - Class in org.nd4j.linalg.api.blas.impl
Provides auxillary methods for blas to databuffer interactions
BaseLevel() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel
 
BaseLevel1 - Class in org.nd4j.linalg.api.blas.impl
Base class for level 1 functions, abstract headers pulled from: http://www.netlib.org/blas/blast-forum/cblas.h
BaseLevel1() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel1
 
BaseLevel2 - Class in org.nd4j.linalg.api.blas.impl
Base class for level 2 functions, abstract headers pulled from: http://www.netlib.org/blas/blast-forum/cblas.h
BaseLevel2() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel2
 
BaseLevel3 - Class in org.nd4j.linalg.api.blas.impl
Base class for level 3 functions, abstract headers pulled from: http://www.netlib.org/blas/blast-forum/cblas.h
BaseLevel3() - Constructor for class org.nd4j.linalg.api.blas.impl.BaseLevel3
 
BaseLoader - Class in org.nd4j.jdbc.loader.impl
Base class for loading ndarrays via org.nd4j.jdbc
BaseLoader(DataSource, String, String, String, String) - Constructor for class org.nd4j.jdbc.loader.impl.BaseLoader
 
BaseLoader(String, String, String, String) - Constructor for class org.nd4j.jdbc.loader.impl.BaseLoader
 
BaseLoader(DataSource, String, String, String) - Constructor for class org.nd4j.jdbc.loader.impl.BaseLoader
 
basement - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree
 
BaseMetaOp - Class in org.nd4j.linalg.api.ops.impl.meta
 
BaseMetaOp() - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
 
BaseMetaOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
 
BaseMetaOp(Op, Op) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
 
BaseMetaOp(OpDescriptor, OpDescriptor) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
 
BaseMetaOp(GridPointers, GridPointers) - Constructor for class org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp
 
BaseMLNScoreCalculator - Class in org.deeplearning4j.earlystopping.scorecalc.base
Abstract score calculator for MultiLayerNetwonk
BaseMLNScoreCalculator(DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseMLNScoreCalculator
 
BaseModule - Class in org.nd4j.linalg.api.ops
Abstract base class for Module that handles Dynamic ops and handles nesting.
BaseModule(String, INDArray[], INDArray[], List<Double>, List<Integer>, List<Module>) - Constructor for class org.nd4j.linalg.api.ops.BaseModule
 
BaseModule(String, SameDiff, SDVariable[], boolean, List<Module>) - Constructor for class org.nd4j.linalg.api.ops.BaseModule
 
BaseMultiLayerUpdater<T extends Model> - Class in org.deeplearning4j.nn.updater
BaseMultiLayerUpdater - core functionality for applying updaters to MultiLayerNetwork and ComputationGraph.
BaseMultiLayerUpdater(T) - Constructor for class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
BaseMultiLayerUpdater(T, INDArray) - Constructor for class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
BaseNativeNDArrayFactory - Class in org.nd4j.nativeblas
Base class with NativeOps
BaseNativeNDArrayFactory(DataBuffer.Type, Character) - Constructor for class org.nd4j.nativeblas.BaseNativeNDArrayFactory
 
BaseNativeNDArrayFactory(DataBuffer.Type, char) - Constructor for class org.nd4j.nativeblas.BaseNativeNDArrayFactory
 
BaseNativeNDArrayFactory() - Constructor for class org.nd4j.nativeblas.BaseNativeNDArrayFactory
 
BaseNDArray - Class in org.nd4j.linalg.api.ndarray
NDArray: (think numpy)

A few things of note.

BaseNDArray() - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, long[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(double[][]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Initialize the ndarray as a matrix with the given data (indices preserved)
BaseNDArray(double[][], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int[], DataBuffer) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create with the specified shape and buffer
BaseNDArray(float[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create this ndarray with the given data and shape and 0 offset
BaseNDArray(float[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(double[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Construct an ndarray of the specified shape with an empty data array
BaseNDArray(long[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int[], int[], long, char, boolean) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Construct an ndarray of the specified shape.
BaseNDArray(long[], long[], long, char, boolean) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create the ndarray with the specified shape and stride and an offset of 0
BaseNDArray(int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create an ndarray with the given shape
BaseNDArray(long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int, int, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Creates a new n times m DoubleMatrix.
BaseNDArray(long, long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(List<INDArray>, int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create an ndarray from the specified slices.
BaseNDArray(List<INDArray>, long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(List<INDArray>, int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create an ndarray from the specified slices.
BaseNDArray(List<INDArray>, long[], long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], int[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], long[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(double[], long[], long[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int[], int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(double[], int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(double[], long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], long[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(double[], int[], int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create this ndarray with the given data and shape and 0 offset
BaseNDArray(float[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Construct an ndarray of the specified shape with an empty data array
BaseNDArray(long[], long[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create the ndarray with the specified shape and stride and an offset of 0
BaseNDArray(int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int[], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(int, int) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Creates a new n times m DoubleMatrix.
BaseNDArray(long, long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(List<INDArray>, int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create an ndarray from the specified slices.
BaseNDArray(List<INDArray>, long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(List<INDArray>, int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Create an ndarray from the specified slices.
BaseNDArray(List<INDArray>, long[], long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], int[], int[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(double[], long[], long[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[], long[], long[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(float[][]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Initialize the ndarray with the given data
BaseNDArray(float[][], char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArray(DataBuffer, int[], long, char) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
Constructor for stride and offset
BaseNDArray(double[], int[], int[], long) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArray
 
BaseNDArrayFactory - Class in org.nd4j.linalg.factory
Base NDArrayFactory class.
BaseNDArrayFactory() - Constructor for class org.nd4j.linalg.factory.BaseNDArrayFactory
 
BaseNDArrayFactory(DataBuffer.Type, Character) - Constructor for class org.nd4j.linalg.factory.BaseNDArrayFactory
Initialize with the given data opType and ordering The ndarray factory will use this for
BaseNDArrayFactory(DataBuffer.Type, char) - Constructor for class org.nd4j.linalg.factory.BaseNDArrayFactory
 
BaseNDArrayList<X extends java.lang.Number> - Class in org.nd4j.list
An ArrayList like implementation of List using INDArray as the backing data structure
BaseNDArrayList() - Constructor for class org.nd4j.list.BaseNDArrayList
 
BaseNDArrayList(INDArray) - Constructor for class org.nd4j.list.BaseNDArrayList
Specify the underlying ndarray for this list.
BaseNDArrayProxy - Class in org.nd4j.linalg.api.ndarray
 
BaseNDArrayProxy(INDArray) - Constructor for class org.nd4j.linalg.api.ndarray.BaseNDArrayProxy
 
BaseNetConfigDeserializer<T> - Class in org.deeplearning4j.nn.conf.serde
A custom (abstract) deserializer that handles backward compatibility (currently only for updater refactoring that happened after 0.8.0).
BaseNetConfigDeserializer(JsonDeserializer<?>, Class<T>) - Constructor for class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
BaseNetScoreFunction - Class in org.deeplearning4j.arbiter.scoring.impl
Created by Alex on 23/07/2017.
BaseNetScoreFunction() - Constructor for class org.deeplearning4j.arbiter.scoring.impl.BaseNetScoreFunction
 
BaseNetworkSpace<T> - Class in org.deeplearning4j.arbiter
This is an abstract ParameterSpace for both MultiLayerNetworks (MultiLayerSpace) and ComputationGraph (ComputationGraphSpace)
BaseNetworkSpace(BaseNetworkSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.BaseNetworkSpace
 
BaseNetworkSpace() - Constructor for class org.deeplearning4j.arbiter.BaseNetworkSpace
 
BaseNetworkSpace.Builder<T extends BaseNetworkSpace.Builder<T>> - Class in org.deeplearning4j.arbiter
 
BaseNetworkSpace.LayerConf - Class in org.deeplearning4j.arbiter
 
BaseOp - Class in org.nd4j.linalg.api.ops
Base op.
BaseOp() - Constructor for class org.nd4j.linalg.api.ops.BaseOp
 
BaseOp(SameDiff, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
 
BaseOp(SameDiff, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
 
BaseOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
Specify an alternative result array
BaseOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
Specify an alternative output array
BaseOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
 
BaseOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseOp
An op for one ndarray
BaseOptimizationRunner - Class in org.deeplearning4j.arbiter.optimize.runner
BaseOptimization runner: responsible for scheduling tasks, saving results using the result saver, etc.
BaseOptimizationRunner(OptimizationConfiguration) - Constructor for class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
BaseOptimizer - Class in org.deeplearning4j.optimize.solvers
Base optimizer
BaseOptimizer(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
BaseOutputLayer - Class in org.deeplearning4j.nn.conf.layers
 
BaseOutputLayer(BaseOutputLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseOutputLayer
 
BaseOutputLayer<LayerConfT extends BaseOutputLayer> - Class in org.deeplearning4j.nn.layers
Output layer with different objective in co-occurrences for different objectives.
BaseOutputLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.BaseOutputLayer
 
BaseOutputLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.BaseOutputLayer
 
BaseOutputLayer.Builder<T extends BaseOutputLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BaseOutputLayerSpace<L extends BaseOutputLayer> - Class in org.deeplearning4j.arbiter.layers
 
BaseOutputLayerSpace(BaseOutputLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace
 
BaseOutputLayerSpace.Builder<T> - Class in org.deeplearning4j.arbiter.layers
 
BasePairFlatMapFunctionAdaptee<T,K,V> - Class in org.deeplearning4j.spark.util
PairFlatMapFunction adapter to hide incompatibilities between Spark 1.x and Spark 2.x This class should be used instead of direct referral to PairFlatMapFunction
BasePairFlatMapFunctionAdaptee(FlatMapFunctionAdapter<T, Tuple2<K, V>>) - Constructor for class org.deeplearning4j.spark.util.BasePairFlatMapFunctionAdaptee
 
BaseParallelDataSetIterator - Class in org.deeplearning4j.datasets.iterator.parallel
 
BaseParallelDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
BaseParameterUpdater - Class in org.nd4j.parameterserver.updater
Base class for the parameter updater handling things such as update storage and basic operations like reset and number of updates
BaseParameterUpdater(UpdateStorage, NDArrayHolder) - Constructor for class org.nd4j.parameterserver.updater.BaseParameterUpdater
 
BaseParameterUpdater(UpdateStorage) - Constructor for class org.nd4j.parameterserver.updater.BaseParameterUpdater
Initialize this updater with a custom update storage
BaseParameterUpdater() - Constructor for class org.nd4j.parameterserver.updater.BaseParameterUpdater
Initializes this updater with InMemoryUpdateStorage
BasePretrainNetwork - Class in org.deeplearning4j.nn.conf.layers
 
BasePretrainNetwork(BasePretrainNetwork.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork
 
BasePretrainNetwork<LayerConfT extends BasePretrainNetwork> - Class in org.deeplearning4j.nn.layers
Baseline class for any Neural Network used as a layer in a deep network *
BasePretrainNetwork(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
BasePretrainNetwork(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
BasePretrainNetwork.Builder<T extends BasePretrainNetwork.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BasePretrainNetworkLayerSpace<L extends BasePretrainNetwork> - Class in org.deeplearning4j.arbiter.layers
 
BasePretrainNetworkLayerSpace(BasePretrainNetworkLayerSpace.Builder) - Constructor for class org.deeplearning4j.arbiter.layers.BasePretrainNetworkLayerSpace
 
BasePretrainNetworkLayerSpace.Builder<T> - Class in org.deeplearning4j.arbiter.layers
 
BaseRandomOp - Class in org.nd4j.linalg.api.ops.random
 
BaseRandomOp(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.random.BaseRandomOp
 
BaseRandomOp(SameDiff, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.BaseRandomOp
 
BaseRecordReader - Class in org.datavec.api.records.reader
Manages record listeners.
BaseRecordReader() - Constructor for class org.datavec.api.records.reader.BaseRecordReader
 
BaseRecurrentLayer - Class in org.deeplearning4j.nn.conf.layers
 
BaseRecurrentLayer(BaseRecurrentLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer
 
BaseRecurrentLayer<LayerConfT extends BaseLayer> - Class in org.deeplearning4j.nn.layers.recurrent
 
BaseRecurrentLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
 
BaseRecurrentLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
 
BaseRecurrentLayer.Builder<T extends BaseRecurrentLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BaseReduction - Class in org.nd4j.linalg.api.ops.impl.accum
 
BaseReduction(SameDiff, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.BaseReduction
 
BaseReduction(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.BaseReduction
 
BaseReduction(INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.BaseReduction
 
BaseReduction(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.BaseReduction
 
BaseReduction() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.BaseReduction
 
BaseReductionBp - Class in org.nd4j.linalg.api.ops.impl.accum.bp
 
BaseReductionBp(SameDiff, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.BaseReductionBp
 
BaseReductionBp(SameDiff, SDVariable, SDVariable, SDVariable, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.BaseReductionBp
 
BaseReductionBp(INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.BaseReductionBp
 
BaseReductionBp(INDArray, INDArray, INDArray, INDArray, boolean, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.BaseReductionBp
 
BaseReductionBp() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.bp.BaseReductionBp
 
BaseRouter - Class in org.nd4j.parameterserver.distributed.logic.routing
 
BaseRouter() - Constructor for class org.nd4j.parameterserver.distributed.logic.routing.BaseRouter
 
BaseS3 - Class in org.deeplearning4j.aws.s3
The S3 Credentials works via discovering the credentials from the system properties (passed in via -D or System wide) If you invoke the JVM with -Dorg.deeplearning4j.aws.accessKey=YOUR_ACCESS_KEY and -Dorg.deeplearning4j.aws.accessSecret=YOUR_SECRET_KEY this will pick up the credentials from there, otherwise it will also attempt to look in the system environment for the following variables: AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY
BaseS3() - Constructor for class org.deeplearning4j.aws.s3.BaseS3
 
BaseS3(File) - Constructor for class org.deeplearning4j.aws.s3.BaseS3
 
BaseS3(InputStream) - Constructor for class org.deeplearning4j.aws.s3.BaseS3
 
BaseS3DataSetIterator - Class in org.deeplearning4j.aws.s3.reader
baseline data applyTransformToDestination iterator for
BaseS3DataSetIterator() - Constructor for class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
 
BaseScalarOp - Class in org.nd4j.linalg.api.ops
Base scalar operation
BaseScalarOp() - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
 
BaseScalarOp(INDArray, INDArray, INDArray, long, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
 
BaseScalarOp(INDArray, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
 
BaseScalarOp(SameDiff, SDVariable, Number) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
 
BaseScalarOp(SameDiff, SDVariable, Number, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
 
BaseScalarOp(SameDiff, SDVariable, Number, boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
 
BaseScalarOp(SameDiff, SDVariable, Number, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseScalarOp
 
BaseScoreCalculator<T extends Model> - Class in org.deeplearning4j.earlystopping.scorecalc.base
 
BaseScoreCalculator(DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
BaseScoreCalculator(MultiDataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
BaseSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
Creates a baseline default.
BaseSentenceIterator(SentencePreProcessor) - Constructor for class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
 
BaseSentenceIterator() - Constructor for class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
 
BaseSequenceExpansionTransform - Class in org.datavec.api.transform.sequence.expansion
A base class for sequence expansion operations.
BaseSequenceExpansionTransform(List<String>, List<String>) - Constructor for class org.datavec.api.transform.sequence.expansion.BaseSequenceExpansionTransform
 
BaseSerializer - Class in org.datavec.api.transform.serde
Abstract serializer for mapping Transforms, Conditions, Filters, DataActions etc to/from JSON.
Also: lists and arrays of these.
BaseSerializer() - Constructor for class org.datavec.api.transform.serde.BaseSerializer
 
BaseShapeInfoProvider - Class in org.nd4j.linalg.api.ndarray
 
BaseShapeInfoProvider() - Constructor for class org.nd4j.linalg.api.ndarray.BaseShapeInfoProvider
 
BaseSparkEarlyStoppingTrainer<T extends Model> - Class in org.deeplearning4j.spark.earlystopping
Base/abstract class for conducting early stopping training via Spark, on a MultiLayerNetwork or a ComputationGraph
BaseSparkEarlyStoppingTrainer(JavaSparkContext, EarlyStoppingConfiguration<T>, T, JavaRDD<DataSet>, JavaRDD<MultiDataSet>, EarlyStoppingListener<T>) - Constructor for class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer
 
BaseSparkLearningAlgorithm - Class in org.deeplearning4j.spark.models.sequencevectors.learning.elements
 
BaseSparkLearningAlgorithm() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
BaseSparkSequenceLearningAlgorithm - Class in org.deeplearning4j.spark.models.sequencevectors.learning.sequence
 
BaseSparkSequenceLearningAlgorithm() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
BaseSparseBlasWrapper - Class in org.nd4j.linalg.factory
 
BaseSparseBlasWrapper() - Constructor for class org.nd4j.linalg.factory.BaseSparseBlasWrapper
 
BaseSparseInfoProvider - Class in org.nd4j.linalg.api.ndarray
 
BaseSparseInfoProvider() - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseInfoProvider
 
BaseSparseNDArray - Class in org.nd4j.linalg.api.ndarray
 
BaseSparseNDArray() - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
BaseSparseNDArrayCOO - Class in org.nd4j.linalg.api.ndarray
 
BaseSparseNDArrayCOO(DataBuffer, DataBuffer, long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
BaseSparseNDArrayCOO(double[], long[][], long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
BaseSparseNDArrayCOO(float[], long[][], long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
BaseSparseNDArrayCOO(double[], int[][], long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
BaseSparseNDArrayCOO(float[], int[][], long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
BaseSparseNDArrayCOO(DataBuffer, DataBuffer, DataBuffer, long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
BaseSparseNDArrayCOO(DataBuffer, DataBuffer, long[], int[], int[], int, long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
BaseSparseNDArrayCSR - Class in org.nd4j.linalg.api.ndarray
 
BaseSparseNDArrayCSR(double[], int[], int[], int[], long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
The length of the values and columns arrays is equal to the number of non-zero elements in A.
BaseSparseNDArrayCSR(float[], int[], int[], int[], long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
 
BaseSparseNDArrayCSR(DataBuffer, int[], int[], int[], long[]) - Constructor for class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
 
BaseSparseNDArrayFactory - Class in org.nd4j.linalg.factory
 
BaseSparseNDArrayFactory() - Constructor for class org.nd4j.linalg.factory.BaseSparseNDArrayFactory
 
BaseStatsListener - Class in org.deeplearning4j.ui.stats
BaseStatsListener: a general purpose listener for collecting and reporting system and model information.
BaseStatsListener(StatsStorageRouter) - Constructor for class org.deeplearning4j.ui.stats.BaseStatsListener
Create a StatsListener with network information collected at every iteration.
BaseStatsListener(StatsStorageRouter, int) - Constructor for class org.deeplearning4j.ui.stats.BaseStatsListener
Create a StatsListener with network information collected every n >= 1 time steps
BaseStatsListener(StatsStorageRouter, StatsInitializationConfiguration, StatsUpdateConfiguration, String, String) - Constructor for class org.deeplearning4j.ui.stats.BaseStatsListener
 
BaseStatusListener - Class in org.deeplearning4j.arbiter.optimize.runner.listener
BaseStatusListener: implements all methods of StatusListener as no-op.
BaseStatusListener() - Constructor for class org.deeplearning4j.arbiter.optimize.runner.listener.BaseStatusListener
 
BaseStatusStorage - Class in org.nd4j.parameterserver.status.play
Base status storage for storage logic and scheduling of ejection of instances indicating failure
BaseStatusStorage() - Constructor for class org.nd4j.parameterserver.status.play.BaseStatusStorage
 
BaseStatusStorage(long, long) - Constructor for class org.nd4j.parameterserver.status.play.BaseStatusStorage
 
BaseStorage - Class in org.nd4j.parameterserver.distributed.logic.storage
 
BaseStorage() - Constructor for class org.nd4j.parameterserver.distributed.logic.storage.BaseStorage
 
BaseStringTransform - Class in org.datavec.api.transform.transform.string
Abstract String column transform
BaseStringTransform(String) - Constructor for class org.datavec.api.transform.transform.string.BaseStringTransform
 
BaseSubsamplingBuilder(Subsampling3DLayer.PoolingType, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(Subsampling3DLayer.PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(Subsampling3DLayer.PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(Subsampling3DLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(SubsamplingLayer.PoolingType, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(SubsamplingLayer.PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(SubsamplingLayer.PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(SubsamplingLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseTensorOp - Class in org.nd4j.linalg.api.ops.impl.shape.tensorops
 
BaseTensorOp(String, SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp
 
BaseTensorOp(SameDiff, SDVariable[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp
 
BaseTensorOp() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp
 
BaseTextVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
 
BaseTextVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
BaseTokenizerFunction - Class in org.deeplearning4j.spark.models.sequencevectors.functions
 
BaseTokenizerFunction(Broadcast<VectorsConfiguration>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
 
BaseTrainer<T extends TrainingMessage> - Class in org.nd4j.parameterserver.distributed.training
 
BaseTrainer() - Constructor for class org.nd4j.parameterserver.distributed.training.BaseTrainer
 
BaseTrainingListener - Class in org.deeplearning4j.optimize.api
A no-op implementation of a TrainingListener to be used as a starting point for custom training callbacks.
BaseTrainingListener() - Constructor for class org.deeplearning4j.optimize.api.BaseTrainingListener
 
BaseTrainingMaster<R extends TrainingResult,W extends TrainingWorker<R>> - Class in org.deeplearning4j.spark.impl.paramavg
 
BaseTrainingMaster() - Constructor for class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
BaseTrainingResult - Class in org.deeplearning4j.spark.impl.paramavg
 
BaseTrainingResult() - Constructor for class org.deeplearning4j.spark.impl.paramavg.BaseTrainingResult
 
BaseTrainingWorker<R extends TrainingResult> - Class in org.deeplearning4j.spark.impl.paramavg
 
BaseTrainingWorker() - Constructor for class org.deeplearning4j.spark.impl.paramavg.BaseTrainingWorker
 
BaseTransform - Class in org.datavec.api.transform.transform
BaseTransform: an abstract transform class, that handles transforming sequences by transforming each example individually
BaseTransform() - Constructor for class org.datavec.api.transform.transform.BaseTransform
 
BaseTransformOp - Class in org.nd4j.linalg.api.ops
A base op for basic getters and setters
BaseTransformOp(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(SameDiff, SDVariable, long[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp() - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransformOp(INDArray) - Constructor for class org.nd4j.linalg.api.ops.BaseTransformOp
 
BaseTransport - Class in org.nd4j.parameterserver.distributed.transport
 
BaseTransport() - Constructor for class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
BaseUnderSamplingPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor.classimbalance
 
BaseUnderSamplingPreProcessor() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.BaseUnderSamplingPreProcessor
 
BaseUpdaterSpace - Class in org.deeplearning4j.arbiter.conf.updater
 
BaseUpdaterSpace() - Constructor for class org.deeplearning4j.arbiter.conf.updater.BaseUpdaterSpace
 
BaseUpdateStorage - Class in org.nd4j.parameterserver.updater.storage
Base class for common logic in update storage
BaseUpdateStorage() - Constructor for class org.nd4j.parameterserver.updater.storage.BaseUpdateStorage
 
BaseUpsamplingLayer - Class in org.deeplearning4j.nn.conf.layers
Upsampling base layer
BaseUpsamplingLayer(BaseUpsamplingLayer.UpsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
BaseUpsamplingLayer.UpsamplingBuilder<T extends BaseUpsamplingLayer.UpsamplingBuilder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BaseVaeReconstructionProbWithKeyFunctionAdapter<K> - Class in org.deeplearning4j.spark.impl.common.score
Function to calculate the scores (reconstruction probability or log probability) for a variational autoencoder.
Note that scoring is batched for computational efficiency.
BaseVaeReconstructionProbWithKeyFunctionAdapter(Broadcast<INDArray>, Broadcast<String>, boolean, int, int) - Constructor for class org.deeplearning4j.spark.impl.common.score.BaseVaeReconstructionProbWithKeyFunctionAdapter
 
BaseVaeScoreWithKeyFunctionAdapter<K> - Class in org.deeplearning4j.spark.impl.common.score
Function to calculate the scores (reconstruction probability, reconstruction error) for a variational autoencoder.
Note that scoring is batched for computational efficiency.
BaseVaeScoreWithKeyFunctionAdapter(Broadcast<INDArray>, Broadcast<String>, int) - Constructor for class org.deeplearning4j.spark.impl.common.score.BaseVaeScoreWithKeyFunctionAdapter
 
BaseVoidMessage - Class in org.nd4j.parameterserver.distributed.messages
 
BaseVoidMessage(int) - Constructor for class org.nd4j.parameterserver.distributed.messages.BaseVoidMessage
 
BaseWeightInitScheme - Class in org.nd4j.weightinit
Abstract class for WeightInitScheme This handles boilerplate like delegating to the parameters view.
BaseWeightInitScheme() - Constructor for class org.nd4j.weightinit.BaseWeightInitScheme
Initialize with c weight ordering by default
BaseWeightInitScheme(char) - Constructor for class org.nd4j.weightinit.BaseWeightInitScheme
 
BaseWorkspaceMgr<T extends java.lang.Enum<T>> - Class in org.nd4j.linalg.workspace
A standard/baseline WorkspaceMgr implementation
BaseWorkspaceMgr(Set<T>, Map<T, WorkspaceConfiguration>, Map<T, String>) - Constructor for class org.nd4j.linalg.workspace.BaseWorkspaceMgr
 
BaseWorkspaceMgr() - Constructor for class org.nd4j.linalg.workspace.BaseWorkspaceMgr
 
BaseWrapperLayer - Class in org.deeplearning4j.nn.conf.layers.wrapper
Base wrapper layer: the idea is to pass through all methods to the underlying layer, and selectively override them as required.
BaseWrapperLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
BaseWrapperLayer(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
BaseWrapperLayer - Class in org.deeplearning4j.nn.layers.wrapper
Abstract wrapper layer.
BaseWrapperLayer(Layer) - Constructor for class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
BaseWrapperVertex - Class in org.deeplearning4j.nn.graph.vertex
A base class for wrapper vertices: i.e., those vertices that have another vertex inside.
BaseWrapperVertex(GraphVertex) - Constructor for class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
Basic - Class in org.deeplearning4j.rl4j.mdp.vizdoom
 
Basic(boolean) - Constructor for class org.deeplearning4j.rl4j.mdp.vizdoom.Basic
 
BasicAffinityManager - Class in org.nd4j.linalg.api.concurrency
 
BasicAffinityManager() - Constructor for class org.nd4j.linalg.api.concurrency.BasicAffinityManager
 
BasicConstantHandler - Class in org.nd4j.linalg.cache
Basic No-Op abstraction for ConstantHandler
BasicConstantHandler() - Constructor for class org.nd4j.linalg.cache.BasicConstantHandler
 
BasicContextPool - Class in org.nd4j.jita.allocator.context.impl
This is context pool implementation, addressing shared cublas allocations together with shared stream pools Each context given contains: 1.
BasicContextPool() - Constructor for class org.nd4j.jita.allocator.context.impl.BasicContextPool
 
BasicGradientsAccumulator - Class in org.deeplearning4j.optimize.solvers.accumulation
This class provides accumulation for gradients for both input (i.e.
BasicGradientsAccumulator(int) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
Creates new GradientsAccumulator with starting threshold of 1e-3
BasicGradientsAccumulator(int, MessageHandler) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
Creates new GradientsAccumulator with custom starting threshold
BasicGraphExecutioner - Class in org.nd4j.autodiff.execution
 
BasicGraphExecutioner() - Constructor for class org.nd4j.autodiff.execution.BasicGraphExecutioner
 
BasicInferenceObservable - Class in org.deeplearning4j.parallelism.inference.observers
This class holds reference input, and implements basic use case: SEQUENTIAL inference
BasicInferenceObservable(INDArray...) - Constructor for class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
BasicInferenceObservable(INDArray[], INDArray[]) - Constructor for class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
BasicInferenceObserver - Class in org.deeplearning4j.parallelism.inference.observers
Simple Observer implementation for sequential inference
BasicInferenceObserver() - Constructor for class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObserver
 
BasicLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
This is simple class, for building Sentence-Label pairs for ParagraphVectors/Doc2Vec.
BasicLabelAwareIterator.Builder - Class in org.deeplearning4j.text.documentiterator
 
BasicLineIterator - Class in org.deeplearning4j.text.sentenceiterator
Primitive single-line iterator, without any options involved.
BasicLineIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
BasicLineIterator(InputStream) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
BasicLineIterator(String) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
BasicMemoryManager - Class in org.nd4j.linalg.memory
 
BasicMemoryManager() - Constructor for class org.nd4j.linalg.memory.BasicMemoryManager
 
BasicModelUtils<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.reader.impl
Basic implementation for ModelUtils interface, suited for standalone use.
BasicModelUtils() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
BasicModelUtils.ArrayComparator - Class in org.deeplearning4j.models.embeddings.reader.impl
 
BasicModelUtils.SimilarityComparator - Class in org.deeplearning4j.models.embeddings.reader.impl
 
BasicModelUtils.WordSimilarity - Class in org.deeplearning4j.models.embeddings.reader.impl
 
BasicNDArrayCompressor - Class in org.nd4j.linalg.compression
 
BasicResultSetIterator - Class in org.deeplearning4j.text.sentenceiterator
Primitive iterator over a SQL ResultSet Please note: for reset functionality, the underlying JDBC ResultSet must not be of TYPE_FORWARD_ONLY To achieve this using postgres you can make your query using: connection.prepareStatement(sql,ResultSet.TYPE_SCROLL_INSENSITIVE,ResultSet.CONCUR_READ_ONLY); This class is designed in a similar fashion to org.deeplearning4j.text.sentenceiterator.BasicLineIterator
BasicResultSetIterator(ResultSet, String) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
BasicSequenceProvider - Class in org.nd4j.parameterserver.distributed.logic.sequence
 
BasicStash<T> - Class in org.nd4j.linalg.memory.stash
 
BasicStash() - Constructor for class org.nd4j.linalg.memory.stash.BasicStash
 
BasicStashManager - Class in org.nd4j.linalg.memory.stash
 
BasicStashManager() - Constructor for class org.nd4j.linalg.memory.stash.BasicStashManager
 
BasicTADManager - Class in org.nd4j.jita.allocator.tad
 
BasicTADManager() - Constructor for class org.nd4j.jita.allocator.tad.BasicTADManager
 
BasicTransformerIterator - Class in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables
 
BasicTransformerIterator(LabelAwareIterator, SentenceTransformer) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
BasicWorkspaceManager - Class in org.nd4j.linalg.memory.provider
Workspace manager implementation.
BasicWorkspaceManager() - Constructor for class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
 
BasicWorkspaceManager(WorkspaceConfiguration) - Constructor for class org.nd4j.linalg.memory.provider.BasicWorkspaceManager
 
BasicWorkspaceManager.WorkspaceDeallocatorThread - Class in org.nd4j.linalg.memory.provider
 
batch() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Batch size
batch() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Batch size
batch() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Batch size
batch - Variable in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
batch - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.loader.DataSetLoaderIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
batch - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
batch() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Batch size
batch() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Batch size
batch() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
batch() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
batch() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
batch - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
batch() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
batch() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
Batch<T extends Aggregate> - Class in org.nd4j.linalg.api.ops.aggregates
Wrapper for "batch of aggregates"
Batch(List<T>) - Constructor for class org.nd4j.linalg.api.ops.aggregates.Batch
This constructor takes List of Aggregates, and builds Batch instance, usable with Nd4j executioner.
batch - Variable in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
batch() - Method in class org.nd4j.linalg.dataset.api.iterator.BaseDatasetIterator
 
batch() - Method in class org.nd4j.linalg.dataset.api.iterator.CachingDataSetIterator
 
batch() - Method in interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
Batch size
batch() - Method in class org.nd4j.linalg.dataset.api.iterator.KFoldIterator
The number of examples in every fold, except the last if totalexamples % k !=0
batch() - Method in class org.nd4j.linalg.dataset.api.iterator.MultipleEpochsIterator
Deprecated.
Batch size
batch() - Method in class org.nd4j.linalg.dataset.api.iterator.SamplingDataSetIterator
 
batch() - Method in class org.nd4j.linalg.dataset.api.iterator.TestDataSetIterator
 
batch() - Method in class org.nd4j.linalg.dataset.ExistingMiniBatchDataSetIterator
 
batch() - Method in class org.nd4j.linalg.dataset.MiniBatchFileDataSetIterator
 
batch() - Method in class org.nd4j.linalg.dataset.ViewIterator
 
BatchAndExportDataSetsFunction - Class in org.deeplearning4j.spark.data
Function used with RDD<DataSet>.mapPartitionsWithIndex.
BatchAndExportDataSetsFunction(int, String) - Constructor for class org.deeplearning4j.spark.data.BatchAndExportDataSetsFunction
 
BatchAndExportMultiDataSetsFunction - Class in org.deeplearning4j.spark.data
Function used with RDD<MultiDataSet>.mapPartitionsWithIndex.
BatchAndExportMultiDataSetsFunction(int, String) - Constructor for class org.deeplearning4j.spark.data.BatchAndExportMultiDataSetsFunction
 
batchBy(int) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
batchBy(int) - Method in class org.nd4j.linalg.dataset.DataSet
Partitions a dataset in to mini batches where each dataset in each list is of the specified number of examples
batchByNumLabels() - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
batchByNumLabels() - Method in class org.nd4j.linalg.dataset.DataSet
 
BatchCSVRecord - Class in org.datavec.spark.transform.model
Created by agibsonccc on 1/21/17.
BatchCSVRecord() - Constructor for class org.datavec.spark.transform.model.BatchCSVRecord
 
BatchDataSetsFunction - Class in org.deeplearning4j.spark.data
Function used to batch DataSet objects together.
BatchDataSetsFunction(int) - Constructor for class org.deeplearning4j.spark.data.BatchDataSetsFunction
 
batchedDS - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
BatchedInferenceObservable - Class in org.deeplearning4j.parallelism.inference.observers
This class holds reference input, and implements second use case: BATCHED inference
BatchedInferenceObservable() - Constructor for class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
batches - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
batches - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
batchesSupported() - Method in class org.datavec.api.records.reader.BaseRecordReader
 
batchesSupported() - Method in class org.datavec.api.records.reader.impl.csv.CSVMultiSequenceRecordReader
 
batchesSupported() - Method in class org.datavec.api.records.reader.impl.csv.CSVRecordReader
 
batchesSupported() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemoryRecordReader
 
batchesSupported() - Method in class org.datavec.api.records.reader.impl.inmemory.InMemorySequenceRecordReader
 
batchesSupported() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessRecordReader
 
batchesSupported() - Method in class org.datavec.api.records.reader.impl.transform.TransformProcessSequenceRecordReader
 
batchesSupported() - Method in interface org.datavec.api.records.reader.RecordReader
This method returns true, if next(int) signature is supported by this RecordReader implementation.
batchesSupported() - Method in class org.datavec.arrow.recordreader.ArrowRecordReader
 
batchesSupported() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileRecordReader
 
batchesSupported() - Method in class org.datavec.hadoop.records.reader.mapfile.MapFileSequenceRecordReader
 
batchesSupported() - Method in class org.datavec.image.recordreader.BaseImageRecordReader
 
batchesSupported() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
BatchImageRecord - Class in org.datavec.spark.transform.model
Created by kepricon on 17.
BatchImageRecord() - Constructor for class org.datavec.spark.transform.model.BatchImageRecord
 
batchIter(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Iterate over batches
batchLimit(int) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder
This method defines, how many input samples can be batched within given time frame.
batchMmul(SDVariable[], SDVariable[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
batchMmul(SDVariable[], SDVariable[], boolean, boolean) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
batchMmul(SDVariable[], boolean, boolean) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
batchMmul(String[], SDVariable[], SDVariable[], boolean, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix multiply a batch of matrices.
batchMmul(SDVariable[], SDVariable[], boolean, boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix multiply a batch of matrices.
batchMmul(SDVariable[], SDVariable[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
Matrix multiply a batch of matrices.
BatchMmul - Class in org.nd4j.linalg.api.ops.impl.accum
Batched matrix multiplication.
BatchMmul(SameDiff, SDVariable[], boolean, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.BatchMmul
 
BatchMmul() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.BatchMmul
 
batchNorm(int, int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
batchNorm(SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, boolean, boolean, double) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
Batch norm operation.
batchNorm(SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, boolean, boolean, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Batch norm operation.
batchNorm(String, SDVariable, SDVariable, SDVariable, SDVariable, SDVariable, boolean, boolean, double) - Method in class org.nd4j.autodiff.samediff.SameDiff
Batch norm operation.
BatchNorm - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
BatchNorm operation
BatchNorm(SameDiff, SDVariable[], INDArray[], INDArray[], boolean, boolean, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNorm
 
BatchNormalization - Class in org.deeplearning4j.nn.conf.layers
Batch normalization configuration
BatchNormalization() - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
BatchNormalization - Class in org.deeplearning4j.nn.layers.normalization
Batch normalization layer.
BatchNormalization(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
BatchNormalization.Builder - Class in org.deeplearning4j.nn.conf.layers
 
BatchNormalizationHelper - Interface in org.deeplearning4j.nn.layers.normalization
Helper for the batch normalization layer.
BatchNormalizationParamInitializer - Class in org.deeplearning4j.nn.params
Batch normalization variable init
BatchNormalizationParamInitializer() - Constructor for class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
BatchNormalizationSpace - Class in org.deeplearning4j.arbiter.layers
LayerSpace for batch normalization layers
BatchNormalizationSpace.Builder - Class in org.deeplearning4j.arbiter.layers
 
BatchNormDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
BatchNormDerivative operation
BatchNormDerivative(SameDiff, SDVariable[], INDArray[], INDArray[], boolean, boolean, boolean, double) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative
 
BatchNormDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.BatchNormDerivative
 
batchNormMode - Variable in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper
 
batchNum - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
BatchRecord - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 1/21/17.
BatchRecord() - Constructor for class org.deeplearning4j.nearestneighbor.model.BatchRecord
 
batchSize - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
batchSize - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
batchSize - Variable in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
batchSize - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
batchSize - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
batchSize(int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
This parameter specifies batch size for each thread.
batchSize - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
batchSize(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Specifies minibatch size for training process.
batchSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines mini-batch size
batchSize - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
batchSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines batchSize option, viable only if iterations > 1
batchSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines mini-batch size
batchSize() - Method in interface org.deeplearning4j.nn.api.Model
The current inputs batch size
batchSize() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
batchSize() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
batchSize() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
batchSize() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
batchSize() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
batchSize() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
batchSize() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
The batch size for the optimizer
batchSize() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
batchSize() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
batchSize - Variable in class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
 
batchSize - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
batchSize(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies the size of mini-batch, used in single iteration during training
batchSize - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
batchSize() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
For word vectors, this is the batch size for which to train on
batchSize - Variable in class org.nd4j.linalg.api.ops.impl.accum.BatchMmul
 
batchSizePerWorker - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
 
batchSizePerWorker - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
batchSizePerWorker - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
batchSizePerWorker(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Batch size (in number of examples) per worker, for each fit(DataSet) call.
batchSizePerWorker(int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Batch size value, used for repartition purposes
batchToSpace(SDVariable, int[], int[][]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
batchToSpace(SDVariable, int[], int[][]) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
batchToSpace(String, SDVariable, int[], int[][]) - Method in class org.nd4j.autodiff.samediff.SameDiff
Convolution 2d layer batch to space operation on 4d input.
BatchToSpace - Class in org.nd4j.linalg.api.ops.impl.transforms
N-dimensional batch to space operation.
BatchToSpace() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BatchToSpace
 
BatchToSpace(SameDiff, SDVariable[], int[], int[][], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BatchToSpace
 
BE - Static variable in class org.nd4j.graph.ByteOrder
 
begin(String) - Static method in class com.atilika.kuromoji.compile.ProgressLog
 
BEGIN - Static variable in class org.ansj.app.crf.Config
 
BEGIN - Static variable in class org.ansj.domain.AnsjItem
 
begin - Variable in class org.ansj.domain.PersonNatureAttr
 
BEGIN - Static variable in class org.ansj.domain.TermNature
 
BEGIN - Static variable in class org.ansj.domain.TermNatures
 
begin - Variable in class org.nd4j.linalg.indexing.IntervalIndex
 
begin() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayVector
 
begin() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayVector
 
begin() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayVector
 
begin() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayVector
 
begin() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayVector
 
begin() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayVector
 
BEGIN_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto.Segment
 
BEGIN_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto.Segment
 
BenchmarkDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
Dataset iterator for simulated inputs, or input derived from a DataSet example.
BenchmarkDataSetIterator(int[], int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
BenchmarkDataSetIterator(int[], int, int, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
BenchmarkDataSetIterator(DataSet, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
BenchmarkMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
MultiDataset iterator for simulated inputs, or input derived from a MultiDataSet example.
BenchmarkMultiDataSetIterator(int[][], int[], int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
BenchmarkMultiDataSetIterator(MultiDataSet, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
BernoulliDistribution - Class in org.nd4j.linalg.api.ops.random.impl
BernoulliDistribution implementation
BernoulliDistribution(SameDiff, double, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
 
BernoulliDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
 
BernoulliDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
This op fills Z with bernoulli trial results, so 0, or 1, depending by common probability
BernoulliDistribution(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BernoulliDistribution
This op fills Z with bernoulli trial results, so 0, or 1, each element will have it's own success probability defined in prob array
BernoulliReconstructionDistribution - Class in org.deeplearning4j.nn.conf.layers.variational
Bernoulli reconstruction distribution for variational autoencoder.
Outputs are modelled by a Bernoulli distribution - i.e., the Bernoulli distribution should be used for binary data (all values 0 or 1); the VAE models the probability of the output being 0 or 1.
Consequently, the sigmoid activation function should be used to bound activations to the range of 0 to 1.
BernoulliReconstructionDistribution() - Constructor for class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
Create a BernoulliReconstructionDistribution with the default Sigmoid activation function
BernoulliReconstructionDistribution(Activation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
BernoulliReconstructionDistribution(IActivation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
bernoullis(double, double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will return the bernoulli trial for the given event.
bernoullis(double, double, double) - Static method in class org.nd4j.linalg.util.MathUtils
This will return the bernoulli trial for the given event.
bestScore - Variable in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
bestScore() - Method in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
bestScore() - Method in interface org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner
Best score found so far
bestScoreCandidateIndex - Variable in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
bestScoreCandidateIndex() - Method in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
bestScoreCandidateIndex() - Method in interface org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner
Index of the best scoring candidate, or -1 if no candidate has scored yet
BestScoreEpochTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Created by Sadat Anwar on 3/26/16.
BestScoreEpochTerminationCondition(double) - Constructor for class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
BestScoreEpochTerminationCondition(double, boolean) - Constructor for class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
bestScoreTime - Variable in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
bestScoreTime() - Method in class org.deeplearning4j.arbiter.optimize.runner.BaseOptimizationRunner
 
bestScoreTime() - Method in interface org.deeplearning4j.arbiter.optimize.runner.IOptimizationRunner
Time that the best score was found at, or 0 if no jobs have completed successfully
beta - Variable in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace
 
beta - Variable in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
beta(double) - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
beta(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
beta(double) - Method in class org.deeplearning4j.arbiter.layers.LocalResponseNormalizationLayerSpace.Builder
 
beta(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.LocalResponseNormalizationLayerSpace.Builder
 
beta - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
beta - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
beta(double) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
Used only when 'true' is passed to BatchNormalization.Builder.lockGammaBeta(boolean).
beta - Variable in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
beta(double) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
Scaling constant beta.
beta - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
BETA - Static variable in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
BETA - Static variable in class org.deeplearning4j.rl4j.network.ac.ActorCriticLoss
 
betaConstraints - Variable in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
betaConstraints - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Bias - Class in org.nd4j.linalg.api.ops.impl.accum
Calculate a bias
Bias(SameDiff, SDVariable, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
 
Bias(SameDiff, SDVariable, SDVariable, int[], double) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
 
Bias() - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
 
Bias(INDArray, INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
 
Bias(INDArray, INDArray, long) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
 
Bias(INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
 
Bias(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.Bias
 
bias - Variable in class org.nd4j.linalg.api.ops.impl.accum.Variance
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
BIAS_KEY_BACKWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
BIAS_KEY_FORWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
BIAS_KEY_SUFFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
biasAdd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
biasAdd(SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
biasAdd(String, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Bias addition operation: a special case of addition, typically used with CNN 4D activations and a 1D bias vector
BiasAdd - Class in org.nd4j.linalg.api.ops.impl.broadcast
Bias addition gradient operation.
BiasAdd(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAdd
 
biasAddBp(SDVariable, SDVariable, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
BiasAddGrad - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BiasAddGrad(SameDiff, SDVariable, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad
 
BiasAddGrad() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BiasAddGrad
 
biasConstraints - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
biasConstraints - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
biasConstraints - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
biasCorrected - Variable in class org.nd4j.linalg.api.ops.impl.accum.Variance
 
biasInit - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
biasInit(double) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
biasInit(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
biasInit - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
biasInit - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
biasInit(double) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
biasInit(ParameterSpace<Double>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
biasInit - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
biasInit - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
biasInit(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Bias initialization value, for layers with biases.
biasInit - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
biasInit(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Constant for bias initialization.
biasInit - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
biasInit(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Constant for bias initialization.
biasKeys(Layer) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Bias parameter keys given the layer configuration
biasKeys(Layer) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.PReLUParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
biasUpdater - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
biasUpdater(ParameterSpace<IUpdater>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
biasUpdater - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
biasUpdater - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
biasUpdater(ParameterSpace<IUpdater>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
biasUpdater - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
biasUpdater - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Gradient updater configuration, for the biases only.
biasUpdater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
biasUpdater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
Gradient updater configuration, for the biases only.
biasUpdater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
biasUpdater - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Gradient updater configuration, for the biases only.
biasUpdater - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Gradient updater configuration, for the biases only.
BiConsumer<T,U> - Interface in org.nd4j.linalg.function
BiConsumer is an operation that accepts two arguments and returns no result.
Bidirectional - Class in org.deeplearning4j.arbiter.layers
Bidirectional layer wrapper.
Bidirectional(LayerSpace<?>) - Constructor for class org.deeplearning4j.arbiter.layers.Bidirectional
 
Bidirectional - Class in org.deeplearning4j.nn.conf.layers.recurrent
Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.
Note that multiple different modes are supported - these specify how the activations should be combined from the forward and backward RNN networks.
Bidirectional(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
Create a Bidirectional wrapper, with the default Mode (CONCAT) for the specified layer
Bidirectional(Bidirectional.Mode, Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
Create a Bidirectional wrapper for the specified layer
BIDIRECTIONAL - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
Bidirectional.Builder - Class in org.deeplearning4j.nn.conf.layers.recurrent
 
Bidirectional.Mode - Enum in org.deeplearning4j.nn.conf.layers.recurrent
This Mode enumeration defines how the activations for the forward and backward networks should be combined.
ADD: out = forward + backward (elementwise addition)
MUL: out = forward * backward (elementwise multiplication)
AVERAGE: out = 0.5 * (forward + backward)
CONCAT: Concatenate the activations.
Where 'forward' is the activations for the forward RNN, and 'backward' is the activations for the backward RNN.
BidirectionalLayer - Class in org.deeplearning4j.nn.layers.recurrent
Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.
Note that multiple different modes are supported - these specify how the activations should be combined from the forward and backward RNN networks.
BidirectionalLayer(NeuralNetConfiguration, Layer, Layer, INDArray) - Constructor for class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
BidirectionalParamInitializer - Class in org.deeplearning4j.nn.params
Parameter initializer for bidirectional wrapper layer
BidirectionalParamInitializer(Bidirectional) - Constructor for class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
BiFunction<T,U,R> - Interface in org.nd4j.linalg.function
A function that accepts two arguments and returns a result
BiFunctionAdapter<A,B,R> - Class in org.datavec.spark.transform.utils.adapter
 
BiFunctionAdapter(BiFunction<A, B, R>) - Constructor for class org.datavec.spark.transform.utils.adapter.BiFunctionAdapter
 
bigramEntryMap - Variable in class org.ansj.domain.AnsjItem
 
bilinearProducts(INDArray, INDArray) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Returns a column vector where each entry is the nth bilinear product of the nth slices of the two tensors.
bilinearProducts(INDArray, INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Returns a column vector where each entry is the nth bilinear product of the nth slices of the two tensors.
bilinearProducts(INDArray, INDArray) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Returns a column vector where each entry is the nth bilinear product of the nth slices of the two tensors.
binarize - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
binarize() - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
binarize(double) - Method in interface org.nd4j.linalg.dataset.api.DataSet
 
binarize() - Method in class org.nd4j.linalg.dataset.DataSet
Same as calling binarize(0)
binarize(double) - Method in class org.nd4j.linalg.dataset.DataSet
Binarizes the dataset such that any number greater than cutoff is 1 otherwise zero
BinarizeTreeTransformer - Class in org.deeplearning4j.text.corpora.treeparser
Binarizes trees.
BinarizeTreeTransformer() - Constructor for class org.deeplearning4j.text.corpora.treeparser.BinarizeTreeTransformer
 
binary - Variable in class org.datavec.api.transform.transform.string.StringListToCountsNDArrayTransform
 
BinaryClassificationResult - Class in org.deeplearning4j.nn.simple.binary
Created by agibsonccc on 4/28/17.
BinaryClassificationResult() - Constructor for class org.deeplearning4j.nn.simple.binary.BinaryClassificationResult
 
BinaryComparable - Class in org.datavec.api.io
Interface supported by WritableComparable types supporting ordering/permutation by a representative set of bytes.
BinaryComparable() - Constructor for class org.datavec.api.io.BinaryComparable
 
BinaryCoOccurrenceReader<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
Binary implementation of CoOccurenceReader interface, used to provide off-memory storage for cooccurrence maps generated for GloVe
BinaryCoOccurrenceReader(File, VocabCache<T>, CountMap<T>) - Constructor for class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceReader
 
BinaryCoOccurrenceWriter<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
 
BinaryCoOccurrenceWriter(File) - Constructor for class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceWriter
 
binaryDecisionThreshold - Variable in class org.deeplearning4j.eval.Evaluation
 
BinaryMetaData - Class in org.datavec.api.transform.metadata
Metadata for an integer column
BinaryMetaData(String) - Constructor for class org.datavec.api.transform.metadata.BinaryMetaData
 
BinaryMinimalRelativeError - Class in org.nd4j.linalg.api.ops.impl.transforms
 
BinaryMinimalRelativeError(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError(INDArray, INDArray, INDArray, double, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError(INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
BinaryMinimalRelativeError(INDArray, INDArray, INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryMinimalRelativeError
 
binaryPositiveClass - Variable in class org.deeplearning4j.eval.Evaluation
 
BinaryReader(File) - Constructor for class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
BinaryRelativeError - Class in org.nd4j.linalg.api.ops.impl.transforms
 
BinaryRelativeError(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError(SameDiff, SDVariable, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError(SameDiff, SDVariable, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError(SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError(SameDiff, SDVariable, int[], boolean, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError(SameDiff, SDVariable, Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError() - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError(INDArray, INDArray, INDArray, double, long) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError(INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinaryRelativeError(INDArray, INDArray, INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.impl.transforms.BinaryRelativeError
 
BinarySerde - Class in org.nd4j.serde.binary
Created by agibsonccc on 7/1/17.
BinarySerde() - Constructor for class org.nd4j.serde.binary.BinarySerde
 
BinaryTimer - Class in org.nd4j.jita.allocator.time.impl
This is simple implementation of DecayingTimer, it doesn't store any actual information for number of events happened.
BinaryTimer(long, TimeUnit) - Constructor for class org.nd4j.jita.allocator.time.impl.BinaryTimer
 
BinaryTree - Interface in org.deeplearning4j.graph.models
Binary tree interface, used in DeepWalk
BinaryTree - Interface in org.deeplearning4j.models.sequencevectors.graph.huffman
Binary tree interface, used in DeepWalk
binCount() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCount(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
binCountId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
binCountMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
binCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
binomial(RandomGenerator, int, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generates a binomial distributed number using the given rng
binomial(RandomGenerator, int, double) - Static method in class org.nd4j.linalg.util.MathUtils
Generates a binomial distributed number using the given rng
BinomialDistribution - Class in org.deeplearning4j.nn.conf.distribution
A binomial distribution.
BinomialDistribution(int, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
Create a distribution
BinomialDistribution - Class in org.nd4j.linalg.api.ops.random.impl
This Op generates binomial distribution
BinomialDistribution(SameDiff, int, double, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
 
BinomialDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
 
BinomialDistribution(INDArray, int, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
This op fills Z with binomial distribution over given trials with single given probability for all trials
BinomialDistribution(INDArray, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
BinomialDistribution(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistribution
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
BinomialDistribution - Class in org.nd4j.linalg.api.rng.distribution.impl
Base distribution derived from apache commons math http://commons.apache.org/proper/commons-math/

(specifically the BinomialDistribution

BinomialDistribution(int, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
Create a binomial distribution with the given number of trials and probability of success.
BinomialDistribution(Random, int, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
Creates a binomial distribution.
BinomialDistribution(int, INDArray) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.BinomialDistribution
 
BinomialDistributionEx - Class in org.nd4j.linalg.api.ops.random.impl
This Op generates binomial distribution
BinomialDistributionEx() - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
 
BinomialDistributionEx(INDArray, int, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
This op fills Z with binomial distribution over given trials with single given probability for all trials
BinomialDistributionEx(INDArray, int, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
BinomialDistributionEx(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.BinomialDistributionEx
This op fills Z with binomial distribution over given trials with probability for each trial given as probabilities INDArray
BiPredicate<T,U> - Interface in org.nd4j.linalg.function
A predicate (boolean valued function) with two arguments.
BITMAP_ENCODING - Static variable in class org.nd4j.linalg.compression.ThresholdCompression
 
bitmapDecode(INDArray, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
 
bitmapDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
bitmapDecode(INDArray, INDArray) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
 
bitmapDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner
 
bitmapDecode(INDArray, INDArray) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
bitmapEncode(INDArray, INDArray, double) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
This method returns number of elements affected by encoder
bitmapEncode(INDArray, double) - Method in class org.nd4j.autodiff.samediff.SameDiffOpExecutioner
 
bitmapEncode(INDArray, INDArray, double) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
bitmapEncode(INDArray, double) - Method in class org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner
 
bitmapEncode(INDArray, INDArray, double) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
This method returns number of elements affected by encoder
bitmapEncode(INDArray, double) - Method in interface org.nd4j.linalg.api.ops.executioner.OpExecutioner
 
bitmapEncode(INDArray, INDArray, double) - Method in class org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner
 
bitmapEncode(INDArray, INDArray, double) - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaExecutioner
 
bitmapMode - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
bitMask - Variable in enum org.nd4j.util.StringUtils.TraditionalBinaryPrefix
 
bitShift - Variable in enum org.nd4j.util.StringUtils.TraditionalBinaryPrefix
 
BLACKMAN - Static variable in class org.datavec.audio.dsp.WindowFunction
 
Blas - Interface in org.nd4j.linalg.api.blas
Extra functionality for BLAS
blas - Variable in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
blas() - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
blas() - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Return extra blas operations
Blas.Vendor - Enum in org.nd4j.linalg.api.blas
 
BLAS_OPS - Static variable in class org.nd4j.linalg.factory.Nd4j
 
BLAS_THREADS_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
 
BLAS_VENDOR_KEY - Static variable in class org.nd4j.linalg.api.environment.Nd4jEnvironment
 
BLAS_WRAPPER_INSTANCE - Static variable in class org.nd4j.linalg.factory.Nd4j
 
BlasBufferUtil - Class in org.nd4j.linalg.api.blas
Blas buffer util for interopping with the underlying buffers and the given ndarrays
BlasBufferUtil() - Constructor for class org.nd4j.linalg.api.blas.BlasBufferUtil
 
BlasException - Error in org.nd4j.linalg.api.blas
General exception for Blas library errors
BlasException(String, int) - Constructor for error org.nd4j.linalg.api.blas.BlasException
Principal constructor - error message & error code
BlasException(String) - Constructor for error org.nd4j.linalg.api.blas.BlasException
 
BlasOpErrorMessage - Class in org.nd4j.linalg.api.ops.exception
 
BlasOpErrorMessage(Op) - Constructor for class org.nd4j.linalg.api.ops.exception.BlasOpErrorMessage
 
BlasWrapper - Class in org.nd4j.linalg.cpu.nativecpu
Copy of SimpleBlas to handle offsets implementing an interface for library neutral jblas operations
BlasWrapper() - Constructor for class org.nd4j.linalg.cpu.nativecpu.BlasWrapper
 
BlasWrapper - Interface in org.nd4j.linalg.factory
This class provides a cleaner direct interface to the BLAS routines by extracting the parameters of the matrices from the matrices itself.
blasWrapperClazz - Static variable in class org.nd4j.linalg.factory.Nd4j
 
BlindInferenceCallable(VocabCache<VocabWord>, TokenizerFactory, String) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.BlindInferenceCallable
 
BlindInferenceCallable(VocabCache<VocabWord>, TokenizerFactory, String, AtomicLong) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.BlindInferenceCallable
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
BlockingObserver - Class in org.deeplearning4j.spark.parameterserver.util
 
BlockingObserver(AtomicBoolean) - Constructor for class org.deeplearning4j.spark.parameterserver.util.BlockingObserver
 
blockLength() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
blockLength(int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
blockLength() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
blockLength(int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
blockLengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
blockLengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
blockLengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
blockLengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
blockLengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
blockLengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
blockLengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
blockLengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
blockLengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
blockLengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
blockLengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
blockLengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
blockName - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.If
 
blockName - Variable in class org.nd4j.linalg.api.ops.impl.controlflow.While
 
blocks - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
blocks - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
blocks(int[]) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
blocks(int) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
blocks - Variable in class org.nd4j.linalg.api.ops.impl.transforms.SpaceToBatch
 
blockSize - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
blockSize - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
blockStartingIndex() - Method in class org.nd4j.nativeblas.Nd4jCpu.CurrentIndexing
 
blockStartingIndex(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.CurrentIndexing
 
blockStartingIndex() - Method in class org.nd4j.nativeblas.Nd4jCuda.CurrentIndexing
 
blockStartingIndex(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.CurrentIndexing
 
blockTillAllRunning() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
blockTillReady() - Method in class org.nd4j.parameterserver.client.ParameterServerClient
Block the clint till ready for next phase.
blockUntilDepleted() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
This method blocks until underlying Iterator is depleted
blockUntilFinished() - Method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
blowupBoxes() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
blurHeight - Variable in class org.datavec.image.transform.LargestBlobCropTransform
 
blurWidth - Variable in class org.datavec.image.transform.LargestBlobCropTransform
 
BoltzmannQ<O extends Encodable> - Class in org.deeplearning4j.rl4j.policy
 
BoltzmannQ() - Constructor for class org.deeplearning4j.rl4j.policy.BoltzmannQ
 
BookRecognition - Class in org.ansj.recognition.impl
基于规则的新词发现 jijiang feidiao
BookRecognition() - Constructor for class org.ansj.recognition.impl.BookRecognition
 
BOOL - Static variable in class org.nd4j.graph.DataType
 
BOOL_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
BOOL_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
bool
BOOL_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
bool
BOOLEAN - Static variable in class org.nd4j.graph.OpType
 
BooleanAdapter - Class in org.nd4j.imports.descriptors.properties.adapters
 
BooleanAdapter() - Constructor for class org.nd4j.imports.descriptors.properties.adapters.BooleanAdapter
 
BooleanColumnCondition - Class in org.datavec.api.transform.condition.column
Created by agibsonccc on 11/26/16.
BooleanColumnCondition(String, SequenceConditionMode) - Constructor for class org.datavec.api.transform.condition.column.BooleanColumnCondition
 
BooleanCondition - Class in org.datavec.api.transform.condition
BooleanCondition: used for creating compound conditions, such as AND(ConditionA, ConditionB, ...)
As a BooleanCondition is a condition, these can be chained together, like NOT(OR(AND(...),AND(...)))
BooleanCondition(BooleanCondition.Type, Condition...) - Constructor for class org.datavec.api.transform.condition.BooleanCondition
 
BooleanCondition.Type - Enum in org.datavec.api.transform.condition
 
booleanField(String) - Static method in class org.datavec.arrow.ArrowConverter
Shortcut
BooleanIndexing - Class in org.nd4j.linalg.indexing
Boolean indexing
BooleanIndexing() - Constructor for class org.nd4j.linalg.indexing.BooleanIndexing
 
BooleanMetaData - Class in org.datavec.api.transform.metadata
Metadata for an integer column
BooleanMetaData(String) - Constructor for class org.datavec.api.transform.metadata.BooleanMetaData
 
BooleanSpace - Class in org.deeplearning4j.arbiter.optimize.parameter
BooleanParameterSpace is a ParameterSpace<Boolean>; Defines {True, False} as a parameter space If argument to setValue is less than or equal to 0.5 it will return True else False
BooleanSpace() - Constructor for class org.deeplearning4j.arbiter.optimize.parameter.BooleanSpace
 
booleanVectorOf(BufferAllocator, String, int) - Static method in class org.datavec.arrow.ArrowConverter
 
BooleanWritable - Class in org.datavec.api.writable
A WritableComparable for booleans.
BooleanWritable() - Constructor for class org.datavec.api.writable.BooleanWritable
 
BooleanWritable(boolean) - Constructor for class org.datavec.api.writable.BooleanWritable
 
BooleanWritable.Comparator - Class in org.datavec.api.writable
A Comparator optimized for BooleanWritable.
bootStrapForWrite() - Method in class org.datavec.api.split.CollectionInputSplit
 
bootStrapForWrite() - Method in class org.datavec.api.split.FileSplit
 
bootStrapForWrite() - Method in interface org.datavec.api.split.InputSplit
Bootstrap this input split for writing.
bootStrapForWrite() - Method in class org.datavec.api.split.InputStreamInputSplit
 
bootStrapForWrite() - Method in class org.datavec.api.split.ListStringSplit
 
bootStrapForWrite() - Method in class org.datavec.api.split.NumberedFileInputSplit
 
bootStrapForWrite() - Method in class org.datavec.api.split.OutputStreamInputSplit
 
bootStrapForWrite() - Method in class org.datavec.api.split.StringSplit
 
bootStrapForWrite() - Method in class org.datavec.api.split.TransformSplit
 
border(int) - Method in class org.datavec.api.transform.ui.components.RenderableComponentTable.Builder
 
BORDER_INPUT_VALUE - Static variable in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
BORDER_INPUT = 4;
BORDER_OUTPUT_VALUE - Static variable in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
BORDER_OUTPUT = 5;
borderWidth(int) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
borrowingWorkspace - Variable in class org.nd4j.linalg.memory.abstracts.Nd4jWorkspace
 
boundary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
boundary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
boundary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
boundingBoxPriors(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Bounding box priors dimensions [width, height].
Box - Class in org.deeplearning4j.rl4j.space
 
Box(JSONArray) - Constructor for class org.deeplearning4j.rl4j.space.Box
 
BoxImageTransform - Class in org.datavec.image.transform
Boxes images to a given width and height without changing their aspect ratios, or the size of the objects, by either padding or cropping them from the center.
BoxImageTransform(int, int) - Constructor for class org.datavec.image.transform.BoxImageTransform
Calls this(null, width, height).
BoxImageTransform(Random, int, int) - Constructor for class org.datavec.image.transform.BoxImageTransform
Constructs an instance of the ImageTransform.
branch(int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FlowPath
 
branch(int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FlowPath
 
branches - Variable in class org.nd4j.linalg.profiler.data.primitives.StackTree
 
broadcast(SDVariable, int...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
broadcast(SDVariable, long...) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
BROADCAST - Static variable in class org.nd4j.graph.OpType
 
broadcast(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
broadcast(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
Broadcasts this ndarray to be the specified shape
broadcast(INDArray) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
broadcast(long...) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
broadcast(long...) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Broadcasts this ndarray to be the specified shape
broadcast(INDArray) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Broadcasts this ndarray to be the specified shape
Broadcast - Class in org.nd4j.linalg.api.ops.impl.shape
Broadcast function
Broadcast(SameDiff, SDVariable, long[]) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Broadcast
 
Broadcast() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Broadcast
 
Broadcast - Class in org.nd4j.linalg.factory
Convenience methods for broadcasts
broadcast(INDArray) - Method in class org.nd4j.linalg.util.DeviceLocalNDArray
This method duplicates array, and stores it to all devices
broadcast(Nd4jCpu.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
returns an array which is result of broadcasting of this and other arrays other - input array
broadcast(Nd4jCpu.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
returns an array which is result of broadcasting of this and other arrays other - input array
broadcast(Nd4jCpu.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
returns an array which is result of broadcasting of this and other arrays other - input array
broadcast(Nd4jCuda.DoubleNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
returns an array which is result of broadcasting of this and other arrays other - input array
broadcast(Nd4jCuda.FloatNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
returns an array which is result of broadcasting of this and other arrays other - input array
broadcast(Nd4jCuda.HalfNDArray) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
returns an array which is result of broadcasting of this and other arrays other - input array
BroadcastAddOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastAddOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
 
BroadcastAddOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
 
BroadcastAddOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
 
BroadcastAddOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
 
BroadcastAddOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAddOp
 
BroadcastAMax - Class in org.nd4j.linalg.api.ops.impl.broadcast
Broadcast Abs Max comparison op
BroadcastAMax(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
BroadcastAMax(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
BroadcastAMax(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
BroadcastAMax(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
BroadcastAMax(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
BroadcastAMax(SameDiff, SDVariable, int[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
BroadcastAMax(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
BroadcastAMax() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
BroadcastAMax(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMax
 
BroadcastAMin - Class in org.nd4j.linalg.api.ops.impl.broadcast
Broadcast Abs Min comparison op
BroadcastAMin(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
BroadcastAMin(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
BroadcastAMin(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
BroadcastAMin(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
BroadcastAMin(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
BroadcastAMin(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
BroadcastAMin(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
BroadcastAMin() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
BroadcastAMin(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastAMin
 
broadcastConfiguration - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
BroadcastCopyOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastCopyOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
BroadcastCopyOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
BroadcastCopyOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
BroadcastCopyOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
BroadcastCopyOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
BroadcastCopyOp(SameDiff, SDVariable, int[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
BroadcastCopyOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
BroadcastCopyOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
BroadcastCopyOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastCopyOp
 
BroadcastDivOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastDivOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
BroadcastDivOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
BroadcastDivOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
BroadcastDivOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
BroadcastDivOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
BroadcastDivOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
BroadcastDivOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
BroadcastDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
BroadcastDivOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastDivOp
 
BroadcastDynamicShape - Class in org.nd4j.linalg.api.ops.impl.shape
Broadcast dynamic shape function
BroadcastDynamicShape(SameDiff, SDVariable, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape
 
BroadcastDynamicShape() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.BroadcastDynamicShape
 
broadcastEnvironment(JavaSparkContext) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
BroadcastEqualTo - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastEqualTo() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
BroadcastEqualTo(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
BroadcastEqualTo(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
BroadcastEqualTo(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
BroadcastEqualTo(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
BroadcastEqualTo(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
BroadcastEqualTo(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
BroadcastEqualTo(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
BroadcastEqualTo(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastEqualTo
 
BroadcastGradientArgs - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastGradientArgs(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs
 
BroadcastGradientArgs(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs
 
BroadcastGradientArgs(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs
 
BroadcastGradientArgs() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs
 
BroadcastGradientArgs(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGradientArgs
 
broadcastGradients(SharedGradient) - Method in class org.deeplearning4j.parallelism.ParallelWrapper
This method will propagate gradients across all workers
BroadcastGreaterThan - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastGreaterThan() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
BroadcastGreaterThan(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
BroadcastGreaterThan(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
BroadcastGreaterThan(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
BroadcastGreaterThan(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
BroadcastGreaterThan(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
BroadcastGreaterThan(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
BroadcastGreaterThan(SameDiff, SDVariable, int[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
BroadcastGreaterThan(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThan
 
BroadcastGreaterThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastGreaterThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
BroadcastGreaterThanOrEqual(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
BroadcastGreaterThanOrEqual(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
BroadcastGreaterThanOrEqual(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
BroadcastGreaterThanOrEqual(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
BroadcastGreaterThanOrEqual(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
BroadcastGreaterThanOrEqual(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
BroadcastGreaterThanOrEqual(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
BroadcastGreaterThanOrEqual(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastGreaterThanOrEqual
 
BroadcastLessThan - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastLessThan() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
BroadcastLessThan(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
BroadcastLessThan(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
BroadcastLessThan(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
BroadcastLessThan(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
BroadcastLessThan(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
BroadcastLessThan(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
BroadcastLessThan(SameDiff, SDVariable, int[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
BroadcastLessThan(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThan
 
BroadcastLessThanOrEqual - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastLessThanOrEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
BroadcastLessThanOrEqual(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
BroadcastLessThanOrEqual(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
BroadcastLessThanOrEqual(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
BroadcastLessThanOrEqual(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
BroadcastLessThanOrEqual(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
BroadcastLessThanOrEqual(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
BroadcastLessThanOrEqual(SameDiff, SDVariable, int[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
BroadcastLessThanOrEqual(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastLessThanOrEqual
 
BroadcastMax - Class in org.nd4j.linalg.api.ops.impl.broadcast
Broadcast Max comparison op
BroadcastMax() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
BroadcastMax(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
BroadcastMax(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
BroadcastMax(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
BroadcastMax(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
BroadcastMax(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
BroadcastMax(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
BroadcastMax(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
BroadcastMax(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMax
 
BroadcastMin - Class in org.nd4j.linalg.api.ops.impl.broadcast
Broadcast Min comparison op
BroadcastMin() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
BroadcastMin(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
BroadcastMin(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
BroadcastMin(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
BroadcastMin(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
BroadcastMin(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
BroadcastMin(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
BroadcastMin(SameDiff, SDVariable, int[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
BroadcastMin(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMin
 
broadcastModel - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
BroadcastMulOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastMulOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
BroadcastMulOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
BroadcastMulOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
BroadcastMulOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
BroadcastMulOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
BroadcastMulOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
BroadcastMulOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
BroadcastMulOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
BroadcastMulOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastMulOp
 
BroadcastNotEqual - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastNotEqual() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
BroadcastNotEqual(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
BroadcastNotEqual(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
BroadcastNotEqual(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
BroadcastNotEqual(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
BroadcastNotEqual(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
BroadcastNotEqual(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
BroadcastNotEqual(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
BroadcastNotEqual(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastNotEqual
 
BroadcastOp - Interface in org.nd4j.linalg.api.ops
A broad cast op is one where a scalar or less rank array is broadcast to fill a bigg er array.
broadcastOutputShape(int[], int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
Get the broadcast output shape based on the 2 input shapes Result output shape based on: https://docs.scipy.org/doc/numpy-1.10.1/user/basics.broadcasting.html
broadcastOutputShape(long[], long[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
BroadcastRDivOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
Broadcast reverse divide
BroadcastRDivOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
BroadcastRDivOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
BroadcastRDivOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
BroadcastRDivOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
BroadcastRDivOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
BroadcastRDivOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
BroadcastRDivOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
BroadcastRDivOp(SameDiff, SDVariable, long[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
BroadcastRDivOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRDivOp
 
BroadcastRSubOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastRSubOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
BroadcastRSubOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
BroadcastRSubOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
BroadcastRSubOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
BroadcastRSubOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
BroadcastRSubOp(SameDiff, SDVariable, int[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
BroadcastRSubOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
BroadcastRSubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
BroadcastRSubOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastRSubOp
 
BroadcastSubOp - Class in org.nd4j.linalg.api.ops.impl.broadcast
 
BroadcastSubOp() - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
BroadcastSubOp(INDArray, INDArray, INDArray, int...) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
BroadcastSubOp(SameDiff, SDVariable, SDVariable, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
BroadcastSubOp(SameDiff, SDVariable, SDVariable, boolean, int[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
BroadcastSubOp(SameDiff) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
BroadcastSubOp(SameDiff, SDVariable, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
BroadcastSubOp(SameDiff, SDVariable, int[], boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
BroadcastSubOp(SameDiff, SDVariable, int[], boolean, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
BroadcastSubOp(SameDiff, SDVariable, int[], Object[]) - Constructor for class org.nd4j.linalg.api.ops.impl.broadcast.BroadcastSubOp
 
broadcastToShape(int[], long) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
Generate a random shape to broadcast to given a randomly generated shape with 1s in it as inputs
broadcastToShape(long[], long) - Static method in class org.nd4j.linalg.checkutil.NDArrayCreationUtil
 
broadcastUpdates(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
broadcastUpdates(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.LocalHandler
 
broadcastUpdates(INDArray) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.MessageHandler
This method does broadcast of given update message across network
BTools - Class in org.nd4j.tools
includes several base tools
BTools() - Constructor for class org.nd4j.tools.BTools
 
bucket(INDArray) - Method in interface org.deeplearning4j.clustering.lsh.LSH
Returns the set of all vectors that could approximately be considered negihbors of the query, without selection on the basis of distance or number of neighbors.
bucket(INDArray) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
 
BUCKET_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto
 
BUCKET_LIMIT_FIELD_NUMBER - Static variable in class org.tensorflow.framework.HistogramProto
 
BucketIterator - Class in org.deeplearning4j.aws.s3.reader
Iterator over individual S3 bucket
BucketIterator(String) - Constructor for class org.deeplearning4j.aws.s3.reader.BucketIterator
 
BucketIterator(String, S3Downloader) - Constructor for class org.deeplearning4j.aws.s3.reader.BucketIterator
 
BucketKeyListener - Interface in org.deeplearning4j.aws.s3.reader
When paginating through a result applyTransformToDestination, allows the user to react to a bucket result being found
buckets() - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Returns the list of buckets in s3
buckets - Variable in class org.nd4j.jita.allocator.time.impl.SimpleTimer
 
Buffer - Class in org.datavec.api.records
A byte sequence that is used as a Java native type for buffer.
Buffer() - Constructor for class org.datavec.api.records.Buffer
Create a zero-count sequence.
Buffer(byte[]) - Constructor for class org.datavec.api.records.Buffer
Create a Buffer using the byte array as the initial value.
Buffer(byte[], int, int) - Constructor for class org.datavec.api.records.Buffer
Create a Buffer using the byte range as the initial value.
buffer - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
buffer - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
buffer - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
buffer - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
buffer(int) - Method in class org.nd4j.graph.FlatArray
 
buffer() - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
 
buffer() - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
 
buffer() - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
 
buffer() - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
 
buffer() - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
 
buffer() - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
 
buffer - Static variable in class org.nd4j.util.OneTimeLogger
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.data.PathToDataSetFunction
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.data.PathToMultiDataSetFunction
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.util.data.validation.ValidateDataSetFn
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.util.data.validation.ValidateMultiDataSetFn
 
bufferAsByteBuffer() - Method in class org.nd4j.graph.FlatArray
 
bufferEntries - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
BufferEntry - Class in com.atilika.kuromoji.buffer
 
BufferEntry() - Constructor for class com.atilika.kuromoji.buffer.BufferEntry
 
bufferLength() - Method in class org.nd4j.graph.FlatArray
 
bufferQueue - Static variable in class org.nd4j.linalg.factory.Nd4j
 
bufferRefQueue() - Static method in class org.nd4j.linalg.factory.Nd4j
The reference queue used for cleaning up databuffers
buffersCache - Variable in class org.nd4j.jita.constant.ProtectedCudaConstantHandler
 
buffersCache - Variable in class org.nd4j.linalg.cpu.nativecpu.cache.ConstantBuffersCache
 
bufferSize - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
This value **overrides** bufferSize calculations for gradients accumulator
bufferSize - Variable in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
bufferSizePerDevice - Variable in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
bufferToString(IntBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
Prints the IntBuffer
BufferUtil - Class in org.nd4j.aeron.util
Minor ByteBuffer utils
BufferUtil() - Constructor for class org.nd4j.aeron.util.BufferUtil
 
build(String, String, String, boolean) - Method in class com.atilika.kuromoji.compile.DictionaryCompilerBase
 
build(String[]) - Method in class com.atilika.kuromoji.compile.DictionaryCompilerBase
 
build(List<String>, boolean) - Static method in class com.atilika.kuromoji.compile.DoubleArrayTrieCompiler
 
build() - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
build() - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
Creates the custom tokenizer instance
build() - Method in class com.atilika.kuromoji.TokenizerBase.Builder
Creates a Tokenizer instance defined by this Builder
build(Trie) - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
Construct double array trie which is equivalent to input trie
build(String) - Method in class com.atilika.kuromoji.viterbi.ViterbiBuilder
Build lattice from input text
build() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
 
build() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
 
build() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
 
build() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
 
build() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
 
build() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
 
build() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
 
build() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
 
build() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
 
build() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
 
build() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
 
build() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
 
build() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
 
build() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
 
build() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
 
build() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
 
build() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
 
build() - Method in class onnx.OnnxProto3.AttributeProto.Builder
 
build() - Method in class onnx.OnnxProto3.GraphProto.Builder
 
build() - Method in class onnx.OnnxProto3.ModelProto.Builder
 
build() - Method in class onnx.OnnxProto3.NodeProto.Builder
 
build() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
 
build() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
 
build() - Method in class onnx.OnnxProto3.TensorProto.Builder
 
build() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
 
build() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
 
build() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
 
build() - Method in class onnx.OnnxProto3.TypeProto.Builder
 
build() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
 
build() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
 
build() - Method in class org.datavec.api.records.reader.impl.jackson.FieldSelection.Builder
 
build() - Method in class org.datavec.api.transform.analysis.columns.BytesAnalysis.Builder
 
build() - Method in class org.datavec.api.transform.analysis.columns.DoubleAnalysis.Builder
 
build() - Method in class org.datavec.api.transform.analysis.columns.IntegerAnalysis.Builder
 
build() - Method in class org.datavec.api.transform.analysis.columns.LongAnalysis.Builder
 
build() - Method in class org.datavec.api.transform.analysis.columns.StringAnalysis.Builder
 
build() - Method in class org.datavec.api.transform.analysis.columns.TimeAnalysis.Builder
 
build() - Method in class org.datavec.api.transform.join.Join.Builder
 
build() - Method in class org.datavec.api.transform.reduce.Reducer.Builder
 
build() - Method in class org.datavec.api.transform.schema.InferredSchema
 
build() - Method in class org.datavec.api.transform.schema.Schema.Builder
Create the Schema
build() - Method in class org.datavec.api.transform.schema.SequenceSchema.Builder
 
build() - Method in class org.datavec.api.transform.sequence.window.OverlappingTimeWindowFunction.Builder
 
build() - Method in class org.datavec.api.transform.sequence.window.TimeWindowFunction.Builder
 
build() - Method in class org.datavec.api.transform.stringreduce.StringReducer.Builder
 
build() - Method in class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform.Builder
Create the transform instance
build() - Method in class org.datavec.api.transform.TransformProcess.Builder
Create the TransformProcess object
build() - Method in class org.datavec.api.transform.ui.components.RenderableComponentHistogram.Builder
 
build() - Method in class org.datavec.api.transform.ui.components.RenderableComponentLineChart.Builder
 
build() - Method in class org.datavec.api.transform.ui.components.RenderableComponentTable.Builder
 
build() - Method in class org.datavec.image.transform.ImageTransformProcess.Builder
 
build() - Method in class org.datavec.image.transform.PipelineImageTransform.Builder
This method returns new PipelineImageTransform instance
build() - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.ActivationLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.AutoEncoderLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.CenterLossOutputLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.Deconvolution2DLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.DenseLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.DropoutLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.EmbeddingLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.GlobalPoolingLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.GravesBidirectionalLSTMLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.GravesLSTMLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.LayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.LocalResponseNormalizationLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.LSTMLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.OCNNLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.OutputLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.RnnOutputLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.SeparableConvolution2DLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.SubsamplingLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
build() - Method in class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration.Builder
 
build() - Method in class org.deeplearning4j.arbiter.ui.data.GlobalConfigPersistable.Builder
 
build() - Method in class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable.Builder
 
build() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
Creates an EMR Spark cluster deployment
build() - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
build() - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
build() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
build() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Create the RecordReaderMultiDataSetIterator
build() - Method in class org.deeplearning4j.datasets.iterator.CombinedMultiDataSetPreProcessor.Builder
 
build() - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
 
build() - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
build() - Method in class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator.Builder
 
build() - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Create the early stopping configuration
build() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
 
build(String, String, boolean) - Static method in class org.deeplearning4j.gym.ClientFactory
 
build(String, boolean) - Static method in class org.deeplearning4j.gym.ClientFactory
 
build() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
 
build() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
build() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
build() - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
build() - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
build() - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
This method returns you new GraphWalker instance
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method builds PopularityWalker object with previously specified params
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
This method builds RandomWalker instance
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
 
build() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator.Builder
Builds SequenceIterator
build() - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder
This method returns new SerializingListener instance
build() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Build SequenceVectors instance with defined settings/options
build() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
build() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
build() - Method in class org.deeplearning4j.models.word2vec.Huffman
 
build() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec.Builder
This method returns Static Word2Vec implementation, which is suitable for tasks like neural nets feeding.
build() - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
build() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
build() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
build() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Create the ComputationGraphConfiguration from the Builder pattern
build() - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected1D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.LocallyConnected2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.LSTM.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.misc.RepeatVector.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.OutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.PReLULayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Return a configuration based on this builder
build() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
Build the multi layer network based on this neural network and overr ridden parameters
build() - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
build() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Returns a model with the fine tune configuration and specified architecture changes.
build() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Returns a computation graph build to specifications.
build() - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
 
build() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
 
build() - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method returns configured PerformanceListener instance
build() - Method in class org.deeplearning4j.optimize.Solver.Builder
 
build() - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
build() - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder
This method builds new ParallelInference instance
build() - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method returns ParallelWrapper instance
build() - Method in class org.deeplearning4j.perf.listener.SystemPolling.Builder
 
build() - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
build() - Method in class org.deeplearning4j.plot.Tsne.Builder
 
build() - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
build(SparkTrainingStats) - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
build() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
build() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
build() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
build() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
build() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
build() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
build() - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
This method returns you SparkWord2Vec instance ready for training
build() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
build() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
 
build() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
 
build() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
 
build() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
 
build() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartHistogram.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartLine.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartScatter.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartStackedArea.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartTimeline.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
build() - Method in class org.deeplearning4j.ui.components.component.style.StyleDiv.Builder
 
build() - Method in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
 
build() - Method in class org.deeplearning4j.ui.components.decorator.style.StyleAccordion.Builder
 
build() - Method in class org.deeplearning4j.ui.components.table.ComponentTable.Builder
 
build() - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
build() - Method in class org.deeplearning4j.ui.components.text.ComponentText.Builder
 
build() - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
 
build() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
build() - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder
 
build() - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
build() - Method in class org.deeplearning4j.ui.weights.HistogramBin.Builder
Returns ready-to-use Histogram instance
build() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.DynamicCustomOpsBuilder
 
build() - Method in class org.nd4j.linalg.api.ops.DynamicCustomOp.SameDiffBuilder
 
build() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
Create a DistributionStats object from the data ingested so far.
build() - Method in class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
Create a DistributionStats object from the data ingested so far.
build() - Method in interface org.nd4j.linalg.dataset.api.preprocessor.stats.NormalizerStats.Builder
DynamicCustomOpsBuilder pattern
build() - Method in class org.nd4j.linalg.indexing.conditions.ConditionBuilder
 
build() - Method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity.Builder
Creates a new instance of the mixture density cost function.
build() - Method in class org.nd4j.linalg.schedule.MapSchedule.Builder
 
build() - Method in class org.nd4j.storage.CompressedRamStorage.Builder
 
build() - Method in class org.tensorflow.framework.AllocationDescription.Builder
 
build() - Method in class org.tensorflow.framework.AllocationRecord.Builder
 
build() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
 
build() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
 
build() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
 
build() - Method in class org.tensorflow.framework.ApiDef.Builder
 
build() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
 
build() - Method in class org.tensorflow.framework.ApiDefs.Builder
 
build() - Method in class org.tensorflow.framework.AttrValue.Builder
 
build() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
 
build() - Method in class org.tensorflow.framework.CostGraphDef.Builder
 
build() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
 
build() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
 
build() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
 
build() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
 
build() - Method in class org.tensorflow.framework.DeviceLocality.Builder
 
build() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
 
build() - Method in class org.tensorflow.framework.FunctionDef.Builder
 
build() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
 
build() - Method in class org.tensorflow.framework.GradientDef.Builder
 
build() - Method in class org.tensorflow.framework.GraphDef.Builder
 
build() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
build() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
 
build() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
 
build() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
 
build() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
 
build() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
 
build() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
 
build() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
 
build() - Method in class org.tensorflow.framework.HistogramProto.Builder
 
build() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
 
build() - Method in class org.tensorflow.framework.KernelDef.Builder
 
build() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
 
build() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
 
build() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
 
build() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
 
build() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
 
build() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
 
build() - Method in class org.tensorflow.framework.MemoryStats.Builder
 
build() - Method in class org.tensorflow.framework.NameAttrList.Builder
 
build() - Method in class org.tensorflow.framework.NodeDef.Builder
 
build() - Method in class org.tensorflow.framework.NodeExecStats.Builder
 
build() - Method in class org.tensorflow.framework.NodeOutput.Builder
 
build() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
 
build() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
 
build() - Method in class org.tensorflow.framework.OpDef.Builder
 
build() - Method in class org.tensorflow.framework.OpDeprecation.Builder
 
build() - Method in class org.tensorflow.framework.OpList.Builder
 
build() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
 
build() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
 
build() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
 
build() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
 
build() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
build() - Method in class org.tensorflow.framework.StepStats.Builder
 
build() - Method in class org.tensorflow.framework.Summary.Audio.Builder
 
build() - Method in class org.tensorflow.framework.Summary.Builder
 
build() - Method in class org.tensorflow.framework.Summary.Image.Builder
 
build() - Method in class org.tensorflow.framework.Summary.Value.Builder
 
build() - Method in class org.tensorflow.framework.SummaryDescription.Builder
 
build() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
 
build() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
 
build() - Method in class org.tensorflow.framework.TensorDescription.Builder
 
build() - Method in class org.tensorflow.framework.TensorProto.Builder
 
build() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
 
build() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
 
build() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
 
build() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
 
build() - Method in class org.tensorflow.framework.VariableDef.Builder
 
build() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
 
build() - Method in class org.tensorflow.framework.VersionDef.Builder
 
build() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
build() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
 
build() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
 
build() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
 
build() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
 
buildActorCritic(int[], int) - Method in interface org.deeplearning4j.rl4j.network.ac.ActorCriticFactoryCompGraph
 
buildActorCritic(int[], int) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticFactoryCompGraphStdConv
 
buildActorCritic(int[], int) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticFactoryCompGraphStdDense
 
buildActorCritic(int[], int) - Method in interface org.deeplearning4j.rl4j.network.ac.ActorCriticFactorySeparate
 
buildActorCritic(int[], int) - Method in class org.deeplearning4j.rl4j.network.ac.ActorCriticFactorySeparateStdDense
 
buildAggregation() - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
 
buildAllocationShape(INDArray) - Static method in class org.nd4j.jita.allocator.utils.AllocationUtils
This method returns AllocationShape for specific array, that takes in account its real shape: offset, length, etc
buildAllocationShape(DataBuffer) - Static method in class org.nd4j.jita.allocator.utils.AllocationUtils
This method returns AllocationShape for the whole DataBuffer.
buildAllocationShape(JCudaBuffer) - Static method in class org.nd4j.jita.allocator.utils.AllocationUtils
This method returns AllocationShape for specific buffer, that takes in account its real shape: offset, length, etc
buildCId() - Static method in class org.nd4j.linalg.heartbeat.utils.EnvironmentUtils
 
buildCumSum() - Method in class org.deeplearning4j.spark.text.functions.CountCumSum
 
buildDQN(int[], int) - Method in interface org.deeplearning4j.rl4j.network.dqn.DQNFactory
 
buildDQN(int[], int) - Method in class org.deeplearning4j.rl4j.network.dqn.DQNFactoryStdConv
 
buildDQN(int[], int) - Method in class org.deeplearning4j.rl4j.network.dqn.DQNFactoryStdDense
 
buildEnvironment() - Static method in class org.nd4j.linalg.heartbeat.utils.EnvironmentUtils
This method build
Builder() - Constructor for class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
Builder() - Constructor for class com.atilika.kuromoji.ipadic.Tokenizer.Builder
Creates a default builder
Builder() - Constructor for class com.atilika.kuromoji.TokenizerBase.Builder
 
Builder() - Constructor for class org.datavec.api.records.reader.impl.jackson.FieldSelection.Builder
 
Builder() - Constructor for class org.datavec.api.transform.analysis.columns.BytesAnalysis.Builder
 
Builder() - Constructor for class org.datavec.api.transform.analysis.columns.DoubleAnalysis.Builder
 
Builder() - Constructor for class org.datavec.api.transform.analysis.columns.IntegerAnalysis.Builder
 
Builder() - Constructor for class org.datavec.api.transform.analysis.columns.LongAnalysis.Builder
 
Builder() - Constructor for class org.datavec.api.transform.analysis.columns.NumericalColumnAnalysis.Builder
 
Builder() - Constructor for class org.datavec.api.transform.analysis.columns.StringAnalysis.Builder
 
Builder() - Constructor for class org.datavec.api.transform.analysis.columns.TimeAnalysis.Builder
 
Builder(Join.JoinType) - Constructor for class org.datavec.api.transform.join.Join.Builder
 
Builder(ReduceOp) - Constructor for class org.datavec.api.transform.reduce.Reducer.Builder
Create a Reducer builder, and set the default column reduction operation.
Builder() - Constructor for class org.datavec.api.transform.schema.Schema.Builder
 
Builder() - Constructor for class org.datavec.api.transform.schema.SequenceSchema.Builder
 
Builder() - Constructor for class org.datavec.api.transform.sequence.window.OverlappingTimeWindowFunction.Builder
 
Builder() - Constructor for class org.datavec.api.transform.sequence.window.TimeWindowFunction.Builder
 
Builder(StringReduceOp) - Constructor for class org.datavec.api.transform.stringreduce.StringReducer.Builder
Create a StringReducer builder, and set the default column reduction operation.
Builder(String) - Constructor for class org.datavec.api.transform.transform.time.DeriveColumnsFromTimeTransform.Builder
 
Builder(Schema) - Constructor for class org.datavec.api.transform.TransformProcess.Builder
 
Builder() - Constructor for class org.datavec.api.transform.ui.components.RenderableComponentHistogram.Builder
 
Builder() - Constructor for class org.datavec.api.transform.ui.components.RenderableComponentLineChart.Builder
 
Builder() - Constructor for class org.datavec.api.transform.ui.components.RenderableComponentTable.Builder
 
Builder() - Constructor for class org.datavec.image.transform.ImageTransformProcess.Builder
 
Builder() - Constructor for class org.datavec.image.transform.PipelineImageTransform.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.ComputationGraphSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.AbstractLSTMLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.ActivationLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.AutoEncoderLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.BaseConvolutionLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.BasePretrainNetworkLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.BatchNormalizationSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.CenterLossOutputLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.ConvolutionLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.Deconvolution2DLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.DenseLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.DropoutLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.EmbeddingLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.GlobalPoolingLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.GravesBidirectionalLSTMLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.GravesLSTMLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.LayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.LocalResponseNormalizationLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.LossLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.LSTMLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.OCNNLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.OutputLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.RnnOutputLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.SeparableConvolution2DLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.SubsamplingLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.layers.VariationalAutoencoderLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.MultiLayerSpace.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.optimize.config.OptimizationConfiguration.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.ui.data.BaseJavaPersistable.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.ui.data.GlobalConfigPersistable.Builder
 
Builder() - Constructor for class org.deeplearning4j.arbiter.ui.data.ModelInfoPersistable.Builder
 
Builder() - Constructor for class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
Builder() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
Builder() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
Builder(RecordReader, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.datasets.iterator.CombinedMultiDataSetPreProcessor.Builder
 
Builder() - Constructor for class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
 
Builder(InequalityHandling) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
Builder(List<DataSetIterator>, InequalityHandling) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.datasets.iterator.RandomMultiDataSetIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
 
Builder() - Constructor for class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
 
Builder() - Constructor for class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Deprecated.
Due to old default, that will be changed in the future. Use #Builder(Format) to specify the CnnSentenceDataSetIterator.Format of the activations
Builder(CnnSentenceDataSetIterator.Format) - Constructor for class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.glove.Glove.Builder
 
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.glove.Glove.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
Builder(GraphWalker<V>, VectorsConfiguration) - Constructor for class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
Builder() - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
Builder(IGraph<V, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
Builder(IGraph<T, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
 
Builder(IGraph<T, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
Builder constructor for RandomWalker
Builder(IGraph<T, ? extends Number>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
 
Builder(Iterable<Sequence<T>>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator.Builder
Builds AbstractSequenceIterator on top of Iterable object
Builder(ListenerEvent, int) - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
Builder(GraphWalker<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
Builder(IGraph<T, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
Builder(AbstractStorage<Integer>, VocabCache<VocabWord>) - Constructor for class org.deeplearning4j.models.word2vec.StaticWord2Vec.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.AbstractLSTM.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.AutoEncoder.Builder
 
Builder(double) - Constructor for class org.deeplearning4j.nn.conf.layers.AutoEncoder.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
Builder(double, boolean) - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder(double, double) - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder(double, double, boolean) - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder(boolean) - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
Builder(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
Builder(int[], int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
Builder(int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
Builder(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
Builder(int, int, int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.DenseLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
Builder(double) - Constructor for class org.deeplearning4j.nn.conf.layers.DropoutLayer.Builder
 
Builder(IDropout) - Constructor for class org.deeplearning4j.nn.conf.layers.DropoutLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.EmbeddingLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
 
Builder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM.Builder
Deprecated.
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.GravesLSTM.Builder
Deprecated.
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.LocallyConnected1D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.LocallyConnected2D.Builder
 
Builder(double, double, double) - Constructor for class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.LSTM.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.misc.RepeatVector.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.OutputLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.OutputLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.PReLULayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.RnnOutputLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.RnnOutputLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.RnnOutputLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
Builder(int[], int[][]) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
Builder(int, SpaceToDepthLayer.DataFormat) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(PoolingType, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(SubsamplingLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(PoolingType, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(Subsampling3DLayer.PoolingType, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(Subsampling3DLayer.PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(Subsampling3DLayer.PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(Subsampling3DLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(SubsamplingLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling1D.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling2D.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling3D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
 
Builder(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
Use same padding for left and right boundaries in depth, height and width.
Builder(int, int, int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
Explicit padding of left and right boundaries in depth, height and width dimensions
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer.Builder
 
Builder(int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer.Builder
 
Builder(String, Class<?>, InputType, InputType) - Constructor for class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
Builder(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
builder() - Static method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
Builder() - Constructor for class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
Builder(MultiLayerNetwork) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Multilayer Network to tweak for transfer learning
builder() - Static method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
Builder() - Constructor for class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
 
Builder(String) - Constructor for class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
 
Builder(File) - Constructor for class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
 
Builder() - Constructor for class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
 
Builder() - Constructor for class org.deeplearning4j.optimize.Solver.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
This
Builder(Model) - Constructor for class org.deeplearning4j.parallelism.ParallelInference.Builder
 
Builder(T) - Constructor for class org.deeplearning4j.parallelism.ParallelWrapper.Builder
Build ParallelWrapper for MultiLayerNetwork
Builder() - Constructor for class org.deeplearning4j.perf.listener.SystemPolling.Builder
 
Builder() - Constructor for class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
Builder() - Constructor for class org.deeplearning4j.plot.Tsne.Builder
 
Builder() - Constructor for class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Same as #Builder(Integer, int) but automatically set number of workers based on JavaSparkContext.defaultParallelism()
Builder(Integer, int) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Create a builder, where the following number of workers (Spark executors * number of threads per executor) are being used.
Note: this should match the configuration of the cluster.
Builder() - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
Builder() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Creates Builder instance with default parameters set.
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Uses VectorsConfiguration bean to initialize Word2Vec model parameters
Builder() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
Builder() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
Deprecated.
Builder(VoidConfiguration) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
Builder(VoidConfiguration, VectorsConfiguration) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
Builder() - Constructor for class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
Deprecated.
Builder(VoidConfiguration) - Constructor for class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
Builder(VoidConfiguration, VectorsConfiguration) - Constructor for class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder(VoidConfiguration, int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder(double, int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder(VoidConfiguration, double, int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder(VoidConfiguration, Integer, double, int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder() - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
This method should stay protected, since it's only viable for testing purposes
Builder(SentenceIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
We assume that each sentence in this iterator is separate document/paragraph
Builder(DocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
We assume that each inputStream in this iterator is separate document/paragraph
Builder(LabelAwareSentenceIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
We assume that each sentence in this iterator is separate document/paragraph.
Builder(LabelAwareDocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
We assume that each inputStream in this iterator is separate document/paragraph Labels will be converted into LabelledDocument format
Builder(LabelAwareIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
 
Builder(SentenceIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder
Deprecated.
 
Builder(InputStream) - Constructor for class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
 
Builder(DocumentIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.api.Style.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.Chart.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartHistogram.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartLine.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartScatter.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartStackedArea.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartTimeline.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.component.style.StyleDiv.Builder
 
Builder(StyleAccordion) - Constructor for class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
 
Builder(String, StyleAccordion) - Constructor for class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.decorator.style.StyleAccordion.Builder
 
Builder(StyleTable) - Constructor for class org.deeplearning4j.ui.components.table.ComponentTable.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
Builder(String, StyleText) - Constructor for class org.deeplearning4j.ui.components.text.ComponentText.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.text.style.StyleText.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder
 
Builder(File) - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
Builder(INDArray) - Constructor for class org.deeplearning4j.ui.weights.HistogramBin.Builder
Build Histogram Builder instance for specified array
builder(String) - Static method in class org.nd4j.linalg.api.ops.DynamicCustomOp
This method takes custom opname, and return Op DynamicCustomOpsBuilder instance
Builder() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.DistributionStats.Builder
 
Builder() - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder
 
Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaDelta.Builder
 
Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaGrad.Builder
 
Builder() - Constructor for class org.nd4j.linalg.learning.config.Adam.Builder
 
Builder() - Constructor for class org.nd4j.linalg.learning.config.AdaMax.Builder
 
Builder() - Constructor for class org.nd4j.linalg.learning.config.AMSGrad.Builder
 
Builder() - Constructor for class org.nd4j.linalg.learning.config.Nadam.Builder
 
Builder() - Constructor for class org.nd4j.linalg.learning.config.Nesterovs.Builder
 
Builder() - Constructor for class org.nd4j.linalg.learning.config.RmsProp.Builder
 
Builder() - Constructor for class org.nd4j.linalg.learning.config.Sgd.Builder
 
builder() - Static method in class org.nd4j.linalg.lossfunctions.impl.LossMixtureDensity
 
Builder(ScheduleType) - Constructor for class org.nd4j.linalg.schedule.MapSchedule.Builder
 
Builder() - Constructor for class org.nd4j.storage.CompressedRamStorage.Builder
 
buildExtendedLookupTable() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
Placeholder for future implementation
buildExtendedVocabulary() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
Placeholder for future implementation
buildFromData(List<DataPoint>) - Static method in class org.deeplearning4j.clustering.vptree.VPTree
Create an ndarray from the datapoints
buildGraphInfo(MultiLayerConfiguration) - Static method in class org.deeplearning4j.ui.module.train.TrainModuleUtils
 
buildGraphInfo(ComputationGraphConfiguration) - Static method in class org.deeplearning4j.ui.module.train.TrainModuleUtils
 
buildGraphInfo(NeuralNetConfiguration) - Static method in class org.deeplearning4j.ui.module.train.TrainModuleUtils
 
buildGrid() - Method in class org.nd4j.linalg.jcublas.ops.executioner.CudaGridExecutioner
This method bundless all ops available in queue into single GridOp
buildHalfVector(Random, int) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
buildInterleavedVector(Random, int) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
buildInterleavedVector(Random, long) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
buildJointVocabulary(boolean, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
This method scans all sources passed through builder, and returns all words as vocab.
buildLocalInformation() - Method in class org.nd4j.parameterserver.distributed.util.NetworkOrganizer
 
buildMergedVocabulary(WordVectors, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
This method transfers existing WordVectors model into current one
buildMergedVocabulary(VocabCache<T>, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
This method transfers existing vocabulary into current one Please note: this method expects source vocabulary has Huffman tree indexes applied
buildModel() - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Build a KerasModel (corresponding to ComputationGraph) from this model builder.
buildNetworkSnapshot() - Method in class org.deeplearning4j.spark.models.sequencevectors.primitives.ExtraCounter
 
buildNode(List<Byte>, List<Integer>, int, int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
buildPartial() - Method in class onnx.OnnxMlProto3.AttributeProto.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.GraphProto.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.ModelProto.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.NodeProto.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.OperatorSetIdProto.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.StringStringEntryProto.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.TensorProto.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.TensorProto.Segment.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.TensorShapeProto.Dimension.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.TypeProto.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.TypeProto.Map.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.TypeProto.Sequence.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.TypeProto.Tensor.Builder
 
buildPartial() - Method in class onnx.OnnxMlProto3.ValueInfoProto.Builder
 
buildPartial() - Method in class onnx.OnnxOperatorsProto3.OperatorProto.Builder
 
buildPartial() - Method in class onnx.OnnxOperatorsProto3.OperatorSetProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.AttributeProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.GraphProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.ModelProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.NodeProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.OperatorSetIdProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.StringStringEntryProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.TensorProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.TensorProto.Segment.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.TensorShapeProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.TensorShapeProto.Dimension.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.TypeProto.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.TypeProto.Tensor.Builder
 
buildPartial() - Method in class onnx.OnnxProto3.ValueInfoProto.Builder
 
buildPartial() - Method in class org.tensorflow.framework.AllocationDescription.Builder
 
buildPartial() - Method in class org.tensorflow.framework.AllocationRecord.Builder
 
buildPartial() - Method in class org.tensorflow.framework.AllocatorMemoryUsed.Builder
 
buildPartial() - Method in class org.tensorflow.framework.ApiDef.Arg.Builder
 
buildPartial() - Method in class org.tensorflow.framework.ApiDef.Attr.Builder
 
buildPartial() - Method in class org.tensorflow.framework.ApiDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.ApiDef.Endpoint.Builder
 
buildPartial() - Method in class org.tensorflow.framework.ApiDefs.Builder
 
buildPartial() - Method in class org.tensorflow.framework.AttrValue.Builder
 
buildPartial() - Method in class org.tensorflow.framework.AttrValue.ListValue.Builder
 
buildPartial() - Method in class org.tensorflow.framework.CostGraphDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.CostGraphDef.Node.Builder
 
buildPartial() - Method in class org.tensorflow.framework.CostGraphDef.Node.InputInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.CostGraphDef.Node.OutputInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.DeviceAttributes.Builder
 
buildPartial() - Method in class org.tensorflow.framework.DeviceLocality.Builder
 
buildPartial() - Method in class org.tensorflow.framework.DeviceStepStats.Builder
 
buildPartial() - Method in class org.tensorflow.framework.FunctionDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.FunctionDefLibrary.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GradientDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GraphDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GraphTransferInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GraphTransferInfo.ConstNodeInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphInputNodeInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GraphTransferInfo.GraphOutputNodeInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInput.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeInputInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.GraphTransferInfo.NodeOutputInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.HistogramProto.Builder
 
buildPartial() - Method in class org.tensorflow.framework.KernelDef.AttrConstraint.Builder
 
buildPartial() - Method in class org.tensorflow.framework.KernelDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.MemoryLogRawAllocation.Builder
 
buildPartial() - Method in class org.tensorflow.framework.MemoryLogRawDeallocation.Builder
 
buildPartial() - Method in class org.tensorflow.framework.MemoryLogStep.Builder
 
buildPartial() - Method in class org.tensorflow.framework.MemoryLogTensorAllocation.Builder
 
buildPartial() - Method in class org.tensorflow.framework.MemoryLogTensorDeallocation.Builder
 
buildPartial() - Method in class org.tensorflow.framework.MemoryLogTensorOutput.Builder
 
buildPartial() - Method in class org.tensorflow.framework.MemoryStats.Builder
 
buildPartial() - Method in class org.tensorflow.framework.NameAttrList.Builder
 
buildPartial() - Method in class org.tensorflow.framework.NodeDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.NodeExecStats.Builder
 
buildPartial() - Method in class org.tensorflow.framework.NodeOutput.Builder
 
buildPartial() - Method in class org.tensorflow.framework.OpDef.ArgDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.OpDef.AttrDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.OpDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.OpDeprecation.Builder
 
buildPartial() - Method in class org.tensorflow.framework.OpList.Builder
 
buildPartial() - Method in class org.tensorflow.framework.ReaderBaseState.Builder
 
buildPartial() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.Builder
 
buildPartial() - Method in class org.tensorflow.framework.RemoteFusedGraphExecuteInfo.TensorShapeTypeProto.Builder
 
buildPartial() - Method in class org.tensorflow.framework.ResourceHandleProto.Builder
 
buildPartial() - Method in class org.tensorflow.framework.SaveSliceInfoDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.StepStats.Builder
 
buildPartial() - Method in class org.tensorflow.framework.Summary.Audio.Builder
 
buildPartial() - Method in class org.tensorflow.framework.Summary.Builder
 
buildPartial() - Method in class org.tensorflow.framework.Summary.Image.Builder
 
buildPartial() - Method in class org.tensorflow.framework.Summary.Value.Builder
 
buildPartial() - Method in class org.tensorflow.framework.SummaryDescription.Builder
 
buildPartial() - Method in class org.tensorflow.framework.SummaryMetadata.Builder
 
buildPartial() - Method in class org.tensorflow.framework.SummaryMetadata.PluginData.Builder
 
buildPartial() - Method in class org.tensorflow.framework.TensorDescription.Builder
 
buildPartial() - Method in class org.tensorflow.framework.TensorProto.Builder
 
buildPartial() - Method in class org.tensorflow.framework.TensorShapeProto.Builder
 
buildPartial() - Method in class org.tensorflow.framework.TensorShapeProto.Dim.Builder
 
buildPartial() - Method in class org.tensorflow.framework.TensorSliceProto.Builder
 
buildPartial() - Method in class org.tensorflow.framework.TensorSliceProto.Extent.Builder
 
buildPartial() - Method in class org.tensorflow.framework.VariableDef.Builder
 
buildPartial() - Method in class org.tensorflow.framework.VariantTensorDataProto.Builder
 
buildPartial() - Method in class org.tensorflow.framework.VersionDef.Builder
 
buildPartial() - Method in class org.tensorflow.util.IteratorStateMetadata.Builder
 
buildPartial() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.AttrDefault.Builder
 
buildPartial() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Builder
 
buildPartial() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverride.Rename.Builder
 
buildPartial() - Method in class tensorflow.OpGenOverridesOuterClass.OpGenOverrides.Builder
 
buildSequential() - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
Build a KerasSequentialModel (corresponding to MultiLayerNetwork) from this model builder.
buildShallowVocabCache(Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
This method builds shadow vocabulary and huffman tree
buildTask(INDArray[], INDArray[]) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
 
buildTask(INDArray, INDArray) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
 
buildTask(INDArray) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
 
buildTask(DataSet) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
 
buildTask(DataSet) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
 
buildTask(DataSetIterator) - Static method in class org.nd4j.linalg.heartbeat.utils.TaskUtils
 
buildTree(INDArray) - Method in class org.deeplearning4j.clustering.randomprojection.RPTree
Build the tree with the given input data
buildTree(RPTree, RPNode, RPHyperPlanes, INDArray, int, int, String) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Initialize the tree given the input parameters
buildTree(int[]) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
Build the Huffman tree given an array of vertex degrees
buildTree(int[]) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
Build the Huffman tree given an array of vertex degrees
buildTree(TreebankNode, Pair<String, MultiDimensionalMap<Integer, Integer, String>>, List<String>) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
Builds a tree recursively adding the children as necessary
buildTree(TreebankNode) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
Builds a tree recursively adding the children as necessary
buildUnknownWordDictionary(String, String, String) - Method in class com.atilika.kuromoji.compile.DictionaryCompilerBase
 
buildVocab() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer