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U

u0 - Variable in class org.nd4j.rng.NativeRandom
 
u1 - Variable in class org.nd4j.rng.NativeRandom
 
UciSequenceDataFetcher - Class in org.deeplearning4j.datasets.fetchers
Fetcher for UCI synthetic control chart time series dataset.
UciSequenceDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
UciSequenceDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
UCI synthetic control chart time series dataset.
UciSequenceDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator
 
UciSequenceDataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator
 
UciSequenceDataSetIterator(int, DataSetType, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator
 
UI_SERVER_PORT_PROPERTY - Static variable in class org.deeplearning4j.config.DL4JSystemProperties
Applicability: deeplearning4j-play (deeplearning4j-ui_2.xx)
Description: This property sets the port that the UI will be available on.
UI_SERVER_PORT_PROPERTY - Static variable in class org.deeplearning4j.ui.play.PlayUIServer
UiConnectionInfo - Class in org.deeplearning4j.ui
POJO describing the location and credentials for DL4j UiServer instance
UiConnectionInfo() - Constructor for class org.deeplearning4j.ui.UiConnectionInfo
 
UiConnectionInfo.Builder - Class in org.deeplearning4j.ui
 
UIDProvider - Class in org.deeplearning4j.util
Static methods for obtaining unique identifiers for both the machine (hardware) and the JVM.
UimaResource - Class in org.datavec.nlp.uima
Resource holder for uima
UimaResource(AnalysisEngine) - Constructor for class org.datavec.nlp.uima.UimaResource
 
UimaResource(AnalysisEngine, CasPool) - Constructor for class org.datavec.nlp.uima.UimaResource
 
UimaResource - Class in org.deeplearning4j.text.uima
Resource holder for uima
UimaResource(AnalysisEngine) - Constructor for class org.deeplearning4j.text.uima.UimaResource
 
UimaResource(AnalysisEngine, CasPool) - Constructor for class org.deeplearning4j.text.uima.UimaResource
 
UimaResultSetIterator - Class in org.deeplearning4j.text.sentenceiterator
Iterates over and returns sentences based on the passed in analysis engine Database version of UimaSentenceIterator based off Adam Gibson's UimaSentenceIterator but extends BasicResultSetIterator 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);
UimaResultSetIterator(ResultSet, String) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
Constructor which builds a new UimaResource object
UimaResultSetIterator(ResultSet, String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
Constructor which takes an existing UimaResource object
UimaSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
Iterates over and returns sentences based on the passed in analysis engine
UimaSentenceIterator(SentencePreProcessor, String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
UimaSentenceIterator(SentencePreProcessor, CollectionReader, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
UimaSentenceIterator(String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
UimaTokenizer - Class in org.datavec.nlp.tokenization.tokenizer
Tokenizer based on the passed in analysis engine
UimaTokenizer(String, UimaResource, boolean) - Constructor for class org.datavec.nlp.tokenization.tokenizer.UimaTokenizer
 
UimaTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
Tokenizer based on the passed in analysis engine
UimaTokenizer(String, UimaResource, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
 
UimaTokenizerFactory - Class in org.datavec.nlp.tokenization.tokenizerfactory
Uses a uima AnalysisEngine to tokenize text.
UimaTokenizerFactory() - Constructor for class org.datavec.nlp.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(UimaResource) - Constructor for class org.datavec.nlp.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(AnalysisEngine) - Constructor for class org.datavec.nlp.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(UimaResource, boolean) - Constructor for class org.datavec.nlp.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(boolean) - Constructor for class org.datavec.nlp.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(AnalysisEngine, boolean) - Constructor for class org.datavec.nlp.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
Uses a uima AnalysisEngine to tokenize text.
UimaTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(UimaResource) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(AnalysisEngine) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(UimaResource, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(AnalysisEngine, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UIModule - Interface in org.deeplearning4j.ui.api
UIModule encapsulates the user interface functionality for a page or group of pages that rely on data coming from a StatsStorage instance.
When a StatsStorage object is attached to a UIServer, the UI server will start receiving StatsStorageEvent instances; some of these (only the appropriate ones based on the specified TypeIDs from the UIModule.getCallbackTypeIDs() method) will be routed to the UIModule, via UIModule.reportStorageEvents(Collection).
UINT16 - Static variable in class org.nd4j.graph.DataType
 
UINT16_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
uint16_t
UINT16_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
uint16_t
UINT32 - Static variable in class org.nd4j.graph.DataType
 
UINT32_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
UINT32_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
UINT32 = 12;
UINT32_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
UINT32 = 12;
UINT64 - Static variable in class org.nd4j.graph.DataType
 
UINT64_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxMlProto3.TensorProto
 
UINT64_DATA_FIELD_NUMBER - Static variable in class onnx.OnnxProto3.TensorProto
 
UINT64_VAL_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorProto
 
UINT64_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
UINT64 = 13;
UINT64_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
UINT64 = 13;
Uint8 - Class in org.nd4j.compression.impl
Compressor implementation based on uint8 as storage for integral values.
Uint8() - Constructor for class org.nd4j.compression.impl.Uint8
 
UINT8 - Static variable in class org.nd4j.graph.DataType
 
UINT8_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
uint8_t
UINT8_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
uint8_t
UIServer - Class in org.deeplearning4j.ui.api
Interface for user interface server
UIServer() - Constructor for class org.deeplearning4j.ui.api.UIServer
 
UIUtils - Class in org.deeplearning4j.arbiter.ui.misc
Created by Alex on 20/07/2017.
UIUtils() - Constructor for class org.deeplearning4j.arbiter.ui.misc.UIUtils
 
UiUtils - Class in org.deeplearning4j.ui
 
uMean - Variable in class org.datavec.image.loader.CifarLoader
 
UnaryOperator<T> - Interface in org.nd4j.linalg.function
A specialization of Function where the input and return types are the same
uncapitalize(String) - Static method in class org.nd4j.linalg.io.StringUtils
 
UncheckedInterruptedException() - Constructor for exception org.deeplearning4j.util.ThreadUtils.UncheckedInterruptedException
 
uncheckedSleep(long) - Static method in class org.deeplearning4j.util.ThreadUtils
 
uncorrectedStdevColumns(String...) - Method in class org.datavec.api.transform.reduce.Reducer.Builder
Reduce the specified columns by taking the uncorrected standard deviation of the values
UNDEFINED - Static variable in class org.nd4j.graph.InputType
 
UNDEFINED_VALUE - Static variable in enum onnx.OnnxMlProto3.AttributeProto.AttributeType
UNDEFINED = 0;
UNDEFINED_VALUE - Static variable in enum onnx.OnnxMlProto3.TensorProto.DataType
UNDEFINED = 0;
UNDEFINED_VALUE - Static variable in enum onnx.OnnxProto3.AttributeProto.AttributeType
UNDEFINED = 0;
UNDEFINED_VALUE - Static variable in enum onnx.OnnxProto3.TensorProto.DataType
UNDEFINED = 0;
underline(boolean) - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
If true: text should be underlined (default: not)
underlying() - Method in class org.deeplearning4j.arbiter.adapter.ActivationParameterSpaceAdapter
 
underlying() - Method in class org.deeplearning4j.arbiter.adapter.LossFunctionParameterSpaceAdapter
 
underlying() - Method in class org.deeplearning4j.arbiter.optimize.api.adapter.ParameterSpaceAdapter
 
underlying - Variable in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
underlying - Variable in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
underlying - Variable in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
underlyingDataBuffer() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
underlyingDataBuffer() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Underlying buffer: This is meant for a data buffer to be a view of another data buffer
underlyingHas - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
underlyingIterable - Variable in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
underlyingIterator - Variable in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
 
underlyingLength - Variable in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
underlyingLength() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
 
underlyingLength() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Returns the length of the buffer
underlyingRank() - Method in class org.nd4j.linalg.api.ndarray.BaseNDArray
 
underlyingRank() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO
 
underlyingRank() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCSR
 
underlyingRank() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
 
underlyingRank(DataBuffer) - Static method in class org.nd4j.linalg.api.shape.Shape
 
UnderSamplingByMaskingMultiDataSetPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor.classimbalance
The multidataset version of the UnderSamplingByMaskingPreProcessor Constructor takes a map - keys are indices of the multidataset to apply preprocessor to, values are the target distributions
UnderSamplingByMaskingMultiDataSetPreProcessor(Map<Integer, Double>, int) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingMultiDataSetPreProcessor
The target distribution to approximate.
UnderSamplingByMaskingPreProcessor - Class in org.nd4j.linalg.dataset.api.preprocessor.classimbalance
For use in time series with unbalanced binary classes trained with truncated back prop through time Undersamples the majority class by randomly masking time steps belonging to it Given a target distribution for the minority class and the window size (usually the value used with tbptt) the preprocessor will approximate the given target distribution for every window of given size for every sample of the minibatch By default '0' is considered the majority class and '1' the minorityLabel class Default can be overriden with .overrideMinorityDefault()
UnderSamplingByMaskingPreProcessor(double, int) - Constructor for class org.nd4j.linalg.dataset.api.preprocessor.classimbalance.UnderSamplingByMaskingPreProcessor
The target distribution to approximate.
unescape(String) - Static method in class com.atilika.kuromoji.util.DictionaryEntryLineParser
Unescape input for CSV
unEscapeString(String) - Static method in class org.nd4j.util.StringUtils
Unescape commas in the string using the default escape char
unEscapeString(String, char, char) - Static method in class org.nd4j.util.StringUtils
Unescape charToEscape in the string with the escape char escapeChar
unEscapeString(String, char, char[]) - Static method in class org.nd4j.util.StringUtils
 
UNet - Class in org.deeplearning4j.zoo.model
U-Net An implementation of U-Net, a deep learning network for image segmentation in Deeplearning4j.
unfrozenGraph() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Returns the unfrozen subset of the original computation graph as a computation graph Note that with each call to featurizedFit the parameters to the original computation graph are also updated
unfrozenMLN() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Returns the unfrozen layers of the MultiLayerNetwork as a multilayernetwork Note that with each call to featurizedFit the parameters to the original MLN are also updated
unicastChannelUri - Variable in class org.nd4j.parameterserver.distributed.transport.BaseTransport
 
uniform(Random, double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generate a uniform random number from the given rng
uniform(Random, double, double) - Static method in class org.nd4j.linalg.util.MathUtils
Generate a uniform random number from the given rng
UniformDistribution - Class in org.deeplearning4j.nn.conf.distribution
A uniform distribution.
UniformDistribution(double, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.UniformDistribution
Create a uniform real distribution using the given lower and upper bounds.
UniformDistribution - Class in org.nd4j.linalg.api.ops.random.impl
 
UniformDistribution() - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution
 
UniformDistribution(SameDiff, double, double, long[]) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution
 
UniformDistribution(INDArray, double, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution
This op fills Z with random values within from...to boundaries
UniformDistribution(INDArray) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution
This op fills Z with random values within 0...1
UniformDistribution(INDArray, double) - Constructor for class org.nd4j.linalg.api.ops.random.impl.UniformDistribution
This op fills Z with random values within 0...to
UniformDistribution - 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 UniformIntegerDistribution

UniformDistribution(double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
Create a uniform real distribution using the given lower and upper bounds.
UniformDistribution(Random, double, double) - Constructor for class org.nd4j.linalg.api.rng.distribution.impl.UniformDistribution
Creates a uniform distribution.
UniformInitScheme - Class in org.nd4j.weightinit.impl
Initialize the weight to: range = 1.0 / Math.sqrt(fanIn) U(-range,range)
UniformInitScheme(char, double) - Constructor for class org.nd4j.weightinit.impl.UniformInitScheme
 
union(Set<? extends T>, Set<? extends T>) - Static method in class org.deeplearning4j.clustering.util.SetUtils
 
union(Set<? extends T>, Set<? extends T>) - Static method in class org.nd4j.util.SetUtils
 
UniqueAddFunction - Class in org.datavec.spark.transform.analysis.unique
Simple function used in AnalyzeSpark.getUnique
UniqueAddFunction() - Constructor for class org.datavec.spark.transform.analysis.unique.UniqueAddFunction
 
UniqueMergeFunction - Class in org.datavec.spark.transform.analysis.unique
Simple function used in AnalyzeSpark.getUnique
UniqueMergeFunction() - Constructor for class org.datavec.spark.transform.analysis.unique.UniqueMergeFunction
 
uniquify(int[]) - Static method in class org.nd4j.linalg.api.shape.Shape
 
unirestCrash(UnirestException) - Static method in class org.deeplearning4j.gym.ClientUtils
 
UnitNormConstraint - Class in org.deeplearning4j.nn.conf.constraint
Constrain the L2 norm of the incoming weights for each unit to be 1.0
UnitNormConstraint(int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.UnitNormConstraint
Apply to weights but not biases by default
UnitNormConstraint(Set<String>, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.UnitNormConstraint
 
units(int) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
Set the number of units / layer size for this layer.
This is equivalent to FeedForwardLayer.Builder.nOut(int)
unitVec(INDArray) - Static method in class org.nd4j.linalg.ops.transforms.Transforms
Scale by 1 / norm2 of the matrix
UNK - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
UNKNOWN_DICTIONARY_FILENAME - Static variable in class com.atilika.kuromoji.dict.UnknownDictionary
 
UNKNOWN_ERROR - Static variable in error org.nd4j.linalg.api.blas.BlasException
 
UNKNOWN_RANK_FIELD_NUMBER - Static variable in class org.tensorflow.framework.TensorShapeProto
 
UnknownDictionary - Class in com.atilika.kuromoji.dict
 
UnknownDictionary(CharacterDefinitions, int[][], int[][], String[][], int) - Constructor for class com.atilika.kuromoji.dict.UnknownDictionary
 
UnknownDictionary(CharacterDefinitions, int[][], int[][], String[][]) - Constructor for class com.atilika.kuromoji.dict.UnknownDictionary
 
unknownDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
UnknownDictionaryCompiler - Class in com.atilika.kuromoji.compile
 
UnknownDictionaryCompiler(Map<String, Integer>, OutputStream) - Constructor for class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
UnknownDictionaryEntryParser - Class in com.atilika.kuromoji.util
 
UnknownDictionaryEntryParser() - Constructor for class com.atilika.kuromoji.util.UnknownDictionaryEntryParser
 
unknownElement(VocabWord) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownElement(V) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
unknownElement(VocabWord) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownElement - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
unknownElement(T) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownElement - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
unknownElement(VocabWord) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
UnknownFormatException - Exception in org.datavec.api.exceptions
 
UnknownFormatException() - Constructor for exception org.datavec.api.exceptions.UnknownFormatException
 
UnknownFormatException(String) - Constructor for exception org.datavec.api.exceptions.UnknownFormatException
 
UnknownFormatException(String, Throwable) - Constructor for exception org.datavec.api.exceptions.UnknownFormatException
 
UnknownFormatException(Throwable) - Constructor for exception org.datavec.api.exceptions.UnknownFormatException
 
UnknownFormatException(String, Throwable, boolean, boolean) - Constructor for exception org.datavec.api.exceptions.UnknownFormatException
 
unknownWordHandling(CnnSentenceDataSetIterator.UnknownWordHandling) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how unknown words (those that don't have a word vector in the provided WordVectors instance) should be handled.
UNLABELED - Static variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
unlock() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Unlock the index
unmodifiableMultiValueMap(MultiValueMap<? extends K, ? extends V>) - Static method in class org.nd4j.linalg.io.CollectionUtils
 
unPersist() - Method in class org.nd4j.linalg.api.buffer.BaseDataBuffer
Deprecated.
unPersist() - Method in interface org.nd4j.linalg.api.buffer.DataBuffer
Un persist the buffer
unpin(VoidAggregation) - Method in class org.nd4j.parameterserver.distributed.logic.completion.Clipboard
This method removes given VoidAggregation from clipboard, and returns it
unpin(long, long) - Method in class org.nd4j.parameterserver.distributed.logic.completion.Clipboard
This method removes given VoidAggregation from clipboard, and returns it
unqualify(String) - Static method in class org.nd4j.linalg.io.StringUtils
 
unqualify(String, char) - Static method in class org.nd4j.linalg.io.StringUtils
 
unregisterGraph(PointerPointer, long) - Method in class org.nd4j.nativeblas.NativeOps
 
unregisterGraph(PointerPointer, long) - Method in class org.nd4j.nativeblas.Nd4jCpu.NativeOps
 
unregisterGraph(PointerPointer, long) - Method in class org.nd4j.nativeblas.Nd4jCuda.NativeOps
 
unroll - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
 
unroll - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
 
unsafeDuplication() - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
unsafeDuplication(boolean) - Method in class org.nd4j.linalg.api.ndarray.BaseSparseNDArray
 
unsafeDuplication() - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Perform efficient (but unsafe) duplication.
unsafeDuplication(boolean) - Method in interface org.nd4j.linalg.api.ndarray.INDArray
Perform efficient (but unsafe) duplication.
unsafeDuplication() - Method in class org.nd4j.linalg.cpu.nativecpu.NDArray
This method does direct array copy.
unsafeDuplication(boolean) - Method in class org.nd4j.linalg.cpu.nativecpu.NDArray
 
unsafeDuplication() - Method in class org.nd4j.linalg.jcublas.JCublasNDArray
This method does direct array copy.
unsafeDuplication(boolean) - Method in class org.nd4j.linalg.jcublas.JCublasNDArray
 
unsafeSetDevice(Integer) - Method in class org.nd4j.jita.concurrency.CudaAffinityManager
 
unsafeSetDevice(Integer) - Method in interface org.nd4j.linalg.api.concurrency.AffinityManager
This method forces specific device for current thread.
unsafeSetDevice(Integer) - Method in class org.nd4j.linalg.api.concurrency.BasicAffinityManager
 
UnsafeWritableInjector - Class in org.datavec.api.writable
Created by huitseeker on 5/13/17.
UnsafeWritableInjector() - Constructor for class org.datavec.api.writable.UnsafeWritableInjector
 
unstack(SDVariable, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
unstack(SDVariable, int, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
unstack(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
unstack(String[], SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
unstack(SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
 
unstack(String[], SDVariable, int, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
Unstack a variable of rank X into N rank X-1 variables by taking slices along the specified axis.
unstack(SDVariable) - Method in class org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArrayV3
 
Unstack - Class in org.nd4j.linalg.api.ops.impl.shape
Unstack op conversion
Unstack() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
Unstack(SameDiff, SDVariable, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
Unstack(SameDiff, SDVariable, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
Unstack(INDArray, INDArray[], int) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.Unstack
 
unstack(Nd4jCpu.DoubleNDArray, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArrayList
 
unstack(Nd4jCpu.FloatNDArray, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArrayList
 
unstack(Nd4jCpu.HalfNDArray, int) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArrayList
 
unstack(Nd4jCuda.DoubleNDArray, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArrayList
 
unstack(Nd4jCuda.FloatNDArray, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArrayList
 
unstack(Nd4jCuda.HalfNDArray, int) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArrayList
 
UnstackVertex - Class in org.deeplearning4j.nn.conf.graph
UnstackVertex allows for unstacking of inputs so that they may be forwarded through a network.
UnstackVertex(int, int) - Constructor for class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
UnstackVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
UnstackVertex allows for unstacking of inputs so that they may be forwarded through a network.
UnstackVertex(ComputationGraph, String, int, int, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
UnstackVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], int, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
UnsupportedKerasConfigurationException - Exception in org.deeplearning4j.nn.modelimport.keras.exceptions
Indicates that user is attempting to import a Keras model configuration that is not currently supported.
UnsupportedKerasConfigurationException(String) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException
 
UnsupportedKerasConfigurationException(String, Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException
 
UnsupportedKerasConfigurationException(Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException
 
untarFile(File, File) - Method in class org.datavec.image.mnist.MnistFetcher
 
UNUSED_VALUE - Static variable in enum org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType
UNUSED = 0;
unzipFileTo(String, String) - Static method in class org.nd4j.util.ArchiveUtils
Extracts files to the specified destination
UnzipForCalculateSortedRankFunction - Class in org.datavec.local.transforms.rank
A simple helper function for use in executing CalculateSortedRank
UnzipForCalculateSortedRankFunction() - Constructor for class org.datavec.local.transforms.rank.UnzipForCalculateSortedRankFunction
 
UnzipForCalculateSortedRankFunction - Class in org.datavec.spark.transform.rank
A simple helper function for use in executing CalculateSortedRank
UnzipForCalculateSortedRankFunction() - Constructor for class org.datavec.spark.transform.rank.UnzipForCalculateSortedRankFunction
 
update(Nature, int) - Method in class org.ansj.domain.NewWord
更新发现权重,并且更新词性
update() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
update(Environment, Event) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
update(Gradient) - Method in interface org.deeplearning4j.nn.api.Model
Update layer weights and biases with gradient change
update(INDArray, String) - Method in interface org.deeplearning4j.nn.api.Model
Perform one update applying the gradient
update(Trainable, Gradient, int, int, int, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Updater
Updater: updates the model
update(INDArray, String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
update(Gradient) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.RepeatVector
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
update(Gradient) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
update(Task) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
update(Trainable, Gradient, int, int, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
update(Gradient, int, int, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
Update the gradient for the model.
update(int, int) - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
Update the gradient for this block
update(Observable, Object) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObserver
 
update(Gradient) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
update(INDArray, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
update(Observable, Object) - Method in class org.deeplearning4j.spark.parameterserver.util.BlockingObserver
 
update(Object...) - Method in class org.nd4j.linalg.learning.legacy.AdaGrad
 
update(NDArrayMessage) - Method in interface org.nd4j.parameterserver.updater.ParameterServerUpdater
Do an update based on the ndarray message.
update(INDArray, INDArray) - Method in interface org.nd4j.parameterserver.updater.ParameterServerUpdater
Updates result based on arr
update(NDArrayMessage) - Method in class org.nd4j.parameterserver.updater.SoftSyncParameterUpdater
Do an update based on the ndarray message.
update(INDArray, INDArray) - Method in class org.nd4j.parameterserver.updater.SoftSyncParameterUpdater
Updates result based on arr
update(NDArrayMessage) - Method in class org.nd4j.parameterserver.updater.SynchronousParameterUpdater
Do an update based on the ndarray message.
update(INDArray, INDArray) - Method in class org.nd4j.parameterserver.updater.SynchronousParameterUpdater
Updates result based on arr
update(NDArrayMessage) - Method in class org.nd4j.parameterserver.updater.TimeDelayedParameterUpdater
Do an update based on the ndarray message.
update(INDArray, INDArray) - Method in class org.nd4j.parameterserver.updater.TimeDelayedParameterUpdater
Updates result based on arr
updateAndReturnAccumulatorVal(JavaRDD<List<String>>) - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
updateArrayForVarName(String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff
Update the INDArray for the given variable.
updateBeforeExecution() - Method in class org.nd4j.linalg.api.ops.impl.transforms.temp.ExternalErrorsFunction
 
updateBuilder(ComputationGraphConfiguration.GraphBuilder, String, int, int[][], String) - Method in interface org.deeplearning4j.nn.conf.module.GraphBuilderModule
Add a layer to the collection of layers being generated by this module.
updated - Variable in class org.nd4j.parameterserver.status.play.BaseStatusStorage
 
UpdateDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
UpdateDecoder.DataSetMetaDataBytesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.GcStatsDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.LayerNamesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.MemoryUseDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.ParamNamesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerformanceDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerParameterStatsDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
UpdateEncoder.DataSetMetaDataBytesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.GcStatsEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.LayerNamesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.MemoryUseEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.ParamNamesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerformanceEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerParameterStatsEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
updateExternalGradient(int, int, INDArray, INDArray) - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
 
UpdateFieldsPresentDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateFieldsPresentDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
UpdateFieldsPresentEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateFieldsPresentEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
updateForNewAxes(INDArray, INDArrayIndex...) - Static method in class org.nd4j.linalg.indexing.NDArrayIndex
Set the shape and stride for new axes based dimensions
updateGradientAccordingToParams(Gradient, Model, int, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
Update the gradient according to the configuration such as adagrad, momentum, and sparsity
updateGradientAccordingToParams(Gradient, Model, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
updateHuffmanCodes() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
build binary tree ordered by counter.
updateId - Variable in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
updateModel(Model) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer
 
updateModel(Model) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
updateModel(Model) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
Update the current Model for the worker
updateNature(String) - Method in class org.ansj.app.crf.pojo.Element
 
updateOffe(int) - Method in class org.ansj.domain.Term
更新偏移量
updatePairs(String, String) - Method in class org.nd4j.linalg.profiler.OpProfiler
 
updatePartitionInfo(PartitionMetaData) - Method in class org.datavec.api.split.partition.NumberOfRecordsPartitioner
 
updatePartitionInfo(PartitionMetaData) - Method in interface org.datavec.api.split.partition.Partitioner
Updates the metadata for this partitioner (to indicate whether the next partition is needed or not)
updateProperties(InputStream) - Method in class org.nd4j.context.Nd4jContext
Load the additional properties from an input stream and load all system properties
updater(IUpdater) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
updater(ParameterSpace<IUpdater>) - Method in class org.deeplearning4j.arbiter.BaseNetworkSpace.Builder
 
updater - Variable in class org.deeplearning4j.arbiter.BaseNetworkSpace
 
updater - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
updater(IUpdater) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
updater(ParameterSpace<IUpdater>) - Method in class org.deeplearning4j.arbiter.layers.BaseLayerSpace.Builder
 
updater - Variable in class org.deeplearning4j.arbiter.layers.BaseLayerSpace
 
Updater - Interface in org.deeplearning4j.nn.api
Update the model
updater(Updater) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Deprecated.
updater(IUpdater) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Gradient updater.
updater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
updater(IUpdater) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
Gradient updater.
updater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
updater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffVertex
 
updater(Updater) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
updater(IUpdater) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Gradient updater configuration.
Updater - Enum in org.deeplearning4j.nn.conf
All the possible different updaters
updater(IUpdater) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Gradient updater configuration.
updater(Updater) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
updater - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
updater - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
UPDATER_BIN - Static variable in class org.deeplearning4j.util.ModelSerializer
 
UpdaterBlock - Class in org.deeplearning4j.nn.updater
UpdaterBlock: used in BaseMultiLayerUpdater, this class implements updating (i.e., Adam, RMSProp, Momentum, etc) across multiple contiguous layers/parameters, as described in the BaseMultiLayerUpdater javadoc.
UpdaterBlock(int, int, int, int, List<UpdaterBlock.ParamState>) - Constructor for class org.deeplearning4j.nn.updater.UpdaterBlock
 
UpdaterBlock.ParamState - Class in org.deeplearning4j.nn.updater
 
updaterBlocks - Variable in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
updaterConfigurationsEquals(Trainable, String, Trainable, String) - Static method in class org.deeplearning4j.nn.updater.UpdaterUtils
 
UpdaterCreator - Class in org.deeplearning4j.nn.updater
 
updateRnnStateWithTBPTTState() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
updaterState() - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method returns updater state (if applicable), null otherwise
updaterState() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
updaterState() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
updaterStateViewArray - Variable in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
UpdaterUtils - Class in org.deeplearning4j.nn.updater
Created by Alex on 14/04/2017.
UpdaterUtils() - Constructor for class org.deeplearning4j.nn.updater.UpdaterUtils
 
updates - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
updates - Variable in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
updates - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
updates - Variable in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
updatesBoundary(double) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
This method enables optional limit for max number of updates per message Default value: 1.0 (no limit)
updatesBuffer - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
updateScore(String, double) - Method in class org.ansj.app.summary.SummaryComputer.Sentence
 
updatesCount - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
updatesCounter - Variable in class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
 
updateShapeForVarName(String, long[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
Update a vertex id with the given shape.
Note that you should use SameDiff.putShapeForVarName(String, long[]) if you want to add a new shape.
updateShapeForVarName(String, long[], boolean) - Method in class org.nd4j.autodiff.samediff.SameDiff
Update a vertex id with the given shape.
Note that you should use SameDiff.putShapeForVarName(String, long[]) if you want to add a new shape.
updatesLock - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
updateSplitLocations(boolean) - Method in class org.datavec.api.split.CollectionInputSplit
 
updateSplitLocations(boolean) - Method in class org.datavec.api.split.FileSplit
 
updateSplitLocations(boolean) - Method in interface org.datavec.api.split.InputSplit
Refreshes the split locations if needed in memory.
updateSplitLocations(boolean) - Method in class org.datavec.api.split.InputStreamInputSplit
 
updateSplitLocations(boolean) - Method in class org.datavec.api.split.ListStringSplit
 
updateSplitLocations(boolean) - Method in class org.datavec.api.split.NumberedFileInputSplit
 
updateSplitLocations(boolean) - Method in class org.datavec.api.split.OutputStreamInputSplit
 
updateSplitLocations(boolean) - Method in class org.datavec.api.split.StringSplit
 
updateSplitLocations(boolean) - Method in class org.datavec.api.split.TransformSplit
 
updateState(SubscriberState) - Method in class org.nd4j.parameterserver.status.play.BaseStatusStorage
Update the state for storage
updateState(SubscriberState) - Method in interface org.nd4j.parameterserver.status.play.StatusStorage
Update the state for storage
UpdateStatus - Class in org.deeplearning4j.arbiter.ui
 
UpdateStatus() - Constructor for class org.deeplearning4j.arbiter.ui.UpdateStatus
 
updatesThreshold(double) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Threshold for updates encoding.
updateStorage - Variable in class org.nd4j.parameterserver.updater.BaseParameterUpdater
 
UpdateStorage - Interface in org.nd4j.parameterserver.updater.storage
An interface for storing parameter server updates.
updateStrides(char) - Method in class org.nd4j.nativeblas.Nd4jCpu.DoubleNDArray
calculate strides and set given order order - order to set
updateStrides(char) - Method in class org.nd4j.nativeblas.Nd4jCpu.FloatNDArray
calculate strides and set given order order - order to set
updateStrides(char) - Method in class org.nd4j.nativeblas.Nd4jCpu.HalfNDArray
calculate strides and set given order order - order to set
updateStrides(LongPointer, char) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
updateStrides(LongBuffer, char) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
updateStrides(long[], char) - Static method in class org.nd4j.nativeblas.Nd4jCpu
 
updateStrides(char) - Method in class org.nd4j.nativeblas.Nd4jCuda.DoubleNDArray
calculate strides and set given order order - order to set
updateStrides(char) - Method in class org.nd4j.nativeblas.Nd4jCuda.FloatNDArray
calculate strides and set given order order - order to set
updateStrides(char) - Method in class org.nd4j.nativeblas.Nd4jCuda.HalfNDArray
calculate strides and set given order order - order to set
updateStrides(LongPointer, char) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
updateStrides(LongBuffer, char) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
updateStrides(long[], char) - Static method in class org.nd4j.nativeblas.Nd4jCuda
 
updateTag(int) - Method in class org.ansj.app.crf.pojo.Element
 
updateTargetNetwork() - Method in class org.deeplearning4j.rl4j.learning.sync.qlearning.QLearning
 
updateTermNaturesAndNature(TermNatures) - Method in class org.ansj.domain.Term
 
updateTypeClass() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClass(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateTypeClassLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateVariable(String, INDArray) - Method in class org.nd4j.autodiff.samediff.SameDiff
Update the INDArray ndarray for the given variable name
updateVariable(String, INDArray) - Method in class org.nd4j.linalg.api.ops.impl.transforms.temp.ExternalErrorsFunction
 
updateVariableName(String, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Update the opName for the variable with the given vertex id
updateVariableNameAndReference(SDVariable, String) - Method in class org.nd4j.autodiff.samediff.SameDiff
Updates the variable name property on the passed in variable, the reference in samediff, and returns the variable.
updateVariableNamesAndReferences(SDVariable[], String[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
Updates the variable name property on the passed in variables, its reference in samediff, and returns the variable.
updateWeight(int) - Method in class org.ansj.app.keyword.Keyword
 
UpdateWordFreqAccumulatorFunction - Class in org.deeplearning4j.spark.text.functions
 
UpdateWordFreqAccumulatorFunction(Broadcast<List<String>>, Accumulator<Counter<String>>) - Constructor for class org.deeplearning4j.spark.text.functions.UpdateWordFreqAccumulatorFunction
 
updateWordsOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
updateWordsOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
updateWordsOccurrences() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Updates counters
upload(File, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
Upload the file to the bucket.
upload(File, String, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
 
UPLOAD - Static variable in class org.deeplearning4j.gym.Client
 
upload(String, String, String) - Method in class org.deeplearning4j.gym.Client
Upload monitoring data to OpenAI servers.
upload(String, String) - Method in class org.deeplearning4j.gym.Client
Upload monitoring data to OpenAI servers.
upload(String) - Method in class org.deeplearning4j.rl4j.mdp.gym.GymEnv
 
uploadAndRun(String, String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
uploadFileList(String, File, List<File>, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
 
uploadFolder(String, String, File, boolean) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
 
uploadForDeployment(String, String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
Creates the directory for the file if necessary and uploads the file
upperThresh - Variable in class org.datavec.image.transform.LargestBlobCropTransform
 
Upsampling1D - Class in org.deeplearning4j.nn.conf.layers
Upsampling 1D layer
Upsampling1D(BaseUpsamplingLayer.UpsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling1D
 
Upsampling1D - Class in org.deeplearning4j.nn.layers.convolution.upsampling
1D Upsampling layer.
Upsampling1D(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
Upsampling1D(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
Upsampling1D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
Upsampling2D - Class in org.deeplearning4j.nn.conf.layers
Upsampling 2D layer
Upsampling2D(BaseUpsamplingLayer.UpsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling2D
 
Upsampling2D - Class in org.deeplearning4j.nn.layers.convolution.upsampling
2D Upsampling layer.
Upsampling2D(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
Upsampling2D(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
upsampling2d(SDVariable, boolean, int, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
upsampling2d(SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D Convolution layer operation - Upsampling 2d with same scale for both dimensions.
upsampling2d(String, SDVariable, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D Convolution layer operation - Upsampling 2d with same scale for both dimensions.
upsampling2d(SDVariable, boolean, int, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D Convolution layer operation - Upsampling 2d
upsampling2d(String, SDVariable, boolean, int, int) - Method in class org.nd4j.autodiff.samediff.SameDiff
2D Convolution layer operation - Upsampling 2d
Upsampling2d - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
Upsampling operation
Upsampling2d(SameDiff, SDVariable, boolean, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
 
Upsampling2d() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2d
 
Upsampling2D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
upsampling2dBp(SDVariable, SDVariable, boolean, int, int) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
Upsampling2dDerivative - Class in org.nd4j.linalg.api.ops.impl.layers.convolution
UpsamplingDerivative operation
Upsampling2dDerivative() - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative
 
Upsampling2dDerivative(SameDiff, SDVariable, SDVariable, boolean, int, int) - Constructor for class org.nd4j.linalg.api.ops.impl.layers.convolution.Upsampling2dDerivative
 
Upsampling3D - Class in org.deeplearning4j.nn.conf.layers
Upsampling 3D layer
Upsampling3D(BaseUpsamplingLayer.UpsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling3D
 
Upsampling3D - Class in org.deeplearning4j.nn.layers.convolution.upsampling
3D Upsampling layer.
Upsampling3D(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
Upsampling3D(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
Upsampling3D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
UpsamplingBuilder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer.UpsamplingBuilder
A single size integer is used for upsampling in all spatial dimensions
UpsamplingBuilder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer.UpsamplingBuilder
An int array to specify upsampling dimensions, the length of which has to equal to the number of spatial dimensions (e.g.
UriFromPathIterator - Class in org.datavec.api.util.files
A simple utility method to convert a Iterator<String> to an Iterator<URI>, where each String in the original iterator is a Path
UriFromPathIterator() - Constructor for class org.datavec.api.util.files.UriFromPathIterator
 
uriStrings - Variable in class org.datavec.api.split.BaseInputSplit
 
uriToString(URI[]) - Static method in class org.nd4j.util.StringUtils
 
URIUtil - Class in org.datavec.api.util.files
Lightweight utilities for converting files to URI.
URIUtil() - Constructor for class org.datavec.api.util.files.URIUtil
 
Url2Stream - Class in org.ansj.dic.impl
url://http://maven.nlpcn.org/down/library/default.dic
Url2Stream() - Constructor for class org.ansj.dic.impl.Url2Stream
 
URL_PROTOCOL_CODE_SOURCE - Static variable in class org.nd4j.linalg.io.ResourceUtils
 
URL_PROTOCOL_FILE - Static variable in class org.nd4j.linalg.io.ResourceUtils
 
URL_PROTOCOL_JAR - Static variable in class org.nd4j.linalg.io.ResourceUtils
 
URL_PROTOCOL_VFS - Static variable in class org.nd4j.linalg.io.ResourceUtils
 
URL_PROTOCOL_VFSZIP - Static variable in class org.nd4j.linalg.io.ResourceUtils
 
URL_PROTOCOL_WSJAR - Static variable in class org.nd4j.linalg.io.ResourceUtils
 
URL_PROTOCOL_ZIP - Static variable in class org.nd4j.linalg.io.ResourceUtils
 
useAbsolutePathAsLabel(boolean) - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines whether adaptive gradients should be used or not
useAdaGrad - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Deprecated.
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines whether adaptive gradients should be used or not
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
Defines, if adaptive gradients should be created during vocabulary mastering
useAdaGrad(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
useAdaGrad - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.plot.Tsne
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies, if adaptive gradients should be used during model training
useAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
useAdeGrad - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
useCachesIfNecessary(URLConnection) - Static method in class org.nd4j.linalg.io.ResourceUtils
 
useCurrent - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
useDevice(Integer) - Method in class org.nd4j.jita.conf.Configuration
This method forces specific device to be used.
useDevices(int...) - Method in class org.nd4j.jita.conf.Configuration
This method forces specific devices to be used.
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method has no effect for GloVe
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method allows you to use pre-built WordVectors model (Word2Vec or GloVe) for ParagraphVectors.
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method allows you to use pre-built WordVectors model (SkipGram or GloVe) for DBOW sequence learning.
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method has no effect for Word2Vec
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method enables/disables Hierarchic softmax Default value: enabled
useHierarchicSoftmax - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Enable/disable hierarchic softmax
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method enables/disables Hierarchic softmax Default value: enabled
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
useHS - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
useHS - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
useHS - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedCbowDotMessage
 
useHs - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedInitializationMessage
 
useHS - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedSgDotMessage
 
useHs - Variable in class org.nd4j.parameterserver.distributed.messages.requests.InitializationRequestMessage
 
useInplaceCompression(boolean) - Method in class org.nd4j.storage.CompressedRamStorage.Builder
If set to TRUE, all store/update calls will use inplace compression.
useMDS(boolean) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
useMDS - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
useMDS() - Method in class org.deeplearning4j.zoo.ModelMetaData
Deprecated.
If number of inputs are greater than 1, this states that the implementation should use MultiDataSet.
useNeg - Variable in class org.nd4j.parameterserver.distributed.messages.intercom.DistributedInitializationMessage
 
useNeg - Variable in class org.nd4j.parameterserver.distributed.messages.requests.InitializationRequestMessage
 
useNormalizedWordVectors(boolean) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Whether normalized word vectors should be used.
usePca - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
usePca - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
usePca(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
usePca - Variable in class org.deeplearning4j.plot.Tsne
 
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
If set to true, initial weights for elements/sequences will be derived from elements themself.
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
USER_DECLARED_METHODS - Static variable in class org.nd4j.linalg.io.ReflectionUtils
 
USER_DEFINE - Static variable in class org.ansj.domain.TermNature
 
UserDefineRecognition - Class in org.ansj.recognition.arrimpl
用户自定义词典.又称补充词典
UserDefineRecognition(TermUtil.InsertTermType, Forest...) - Constructor for class org.ansj.recognition.arrimpl.UserDefineRecognition
 
UserDicNatureRecognition - Class in org.ansj.recognition.impl
用户自定义词典的词性优先
UserDicNatureRecognition() - Constructor for class org.ansj.recognition.impl.UserDicNatureRecognition
 
UserDicNatureRecognition(Forest...) - Constructor for class org.ansj.recognition.impl.UserDicNatureRecognition
传入多本词典,后面的会覆盖前面的结果
UserDictionary - Class in com.atilika.kuromoji.dict
 
UserDictionary(InputStream, int, int, int) - Constructor for class com.atilika.kuromoji.dict.UserDictionary
 
userDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
userDictionary(InputStream) - Method in class com.atilika.kuromoji.TokenizerBase.Builder
Sets an optional user dictionary as an input stream
userDictionary(String) - Method in class com.atilika.kuromoji.TokenizerBase.Builder
Sets an optional user dictionary filename
UserDictionary.UserDictionaryMatch - Class in com.atilika.kuromoji.dict
 
UserDictionaryMatch(int, int, int) - Constructor for class com.atilika.kuromoji.dict.UserDictionary.UserDictionaryMatch
 
useSpecialPreProcessCifar - Variable in class org.datavec.image.loader.CifarLoader
 
useSpecialPreProcessCifar - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
usesRegularization() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Indicates whether layer uses regularization.
useSubset - Variable in class org.datavec.image.loader.LFWLoader
 
useTruncatedBPTT - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
useUnk - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
useUnknown - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
useUnknown(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method allows you to specify, if UNK word should be used internally
useUnknown(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useUnknown(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method allows you to specify, if UNK word should be used internally
useUnknown - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
useUnknown(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method allows you to specify, if UNK word should be used internally
useUnknown(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method allows you to specify, if UNK word should be used internally
useUnknown(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies, if UNK word should be used instead of words that are absent in vocab
useVariableWindow(int...) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method has no effect for ParagraphVectors
useVariableWindow(int...) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useVariableWindow(int...) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method has no effect for ParagraphVectors
useVariableWindow(int...) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method allows to use variable window size.
useVariableWindow(int...) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method allows to use variable window size.
useWorkspace - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
useWorkspaces - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
useWriteAheadLog(boolean) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder
 
uStd - Variable in class org.datavec.image.loader.CifarLoader
 
UTF8 - Static variable in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
utf8Length(String) - Static method in class org.datavec.api.writable.Text
For the given string, returns the number of UTF-8 bytes required to encode the string.
Util - Class in org.datavec.nlp.movingwindow
 
Util() - Constructor for class org.datavec.nlp.movingwindow.Util
 
Util - Class in org.deeplearning4j.text.movingwindow
 
Utils - Class in org.deeplearning4j.ui.api
 
uuid - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
uuid - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
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