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Z

z - Variable in class org.nd4j.linalg.api.ops.BaseOp
 
z() - Method in class org.nd4j.linalg.api.ops.BaseOp
 
z() - Method in class org.nd4j.linalg.api.ops.BaseScalarOp
 
z() - Method in class org.nd4j.linalg.api.ops.BaseTransformOp
 
z() - Method in class org.nd4j.linalg.api.ops.impl.shape.RollAxis
 
z() - Method in interface org.nd4j.linalg.api.ops.Op
The resulting ndarray
z0 - Variable in class org.nd4j.rng.NativeRandom
 
z1 - Variable in class org.nd4j.rng.NativeRandom
 
ZERO - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
zero(Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
 
zero(ExtraCounter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
 
zero(Counter<Integer>) - Method in class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
 
zero(Counter<String>) - Method in class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
 
zero(int[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
zero(long[]) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
zero(String, long[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
Create a new variable with the specified shape, with all values initialized to 0
zero(String, int[]) - Method in class org.nd4j.autodiff.samediff.SameDiff
Create a new variable with the specified shape, with all values initialized to 0
Zero - Class in org.nd4j.linalg.indexing.functions
Created by agibsonccc on 10/8/14.
Zero() - Constructor for class org.nd4j.linalg.indexing.functions.Zero
 
ZERO_BASED_INDEXING - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
ZERO_BASED_INDEXING - Static variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
ZERO_BASED_LABEL_INDEXING - Static variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
ZERO_BASED_LABEL_INDEXING - Static variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
zeroBasedIndexing - Variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
zeroBasedIndexing - Variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
zeroBasedLabelIndexing - Variable in class org.datavec.api.records.reader.impl.misc.SVMLightRecordReader
 
zeroBasedLabelIndexing - Variable in class org.datavec.api.records.writer.impl.misc.SVMLightRecordWriter
 
zeroCache - Variable in class org.nd4j.jita.memory.impl.CudaCachingZeroProvider
 
zeroCachedAmount - Variable in class org.nd4j.jita.memory.impl.CudaCachingZeroProvider
 
zeroDouble() - Method in interface org.nd4j.linalg.api.ops.Accumulation
Initial value (used to initialize the accumulation op)
zeroDouble() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMin
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.impl.accum.Max
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.impl.accum.Min
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.impl.accum.Prod
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
 
zeroDouble() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
zeroDouble() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
Initial value for the index accumulation
zeroedPretrainParamGradients - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
zeroFloat() - Method in interface org.nd4j.linalg.api.ops.Accumulation
Initial value (used to initialize the accumulation op)
zeroFloat() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMin
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.impl.accum.Max
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.impl.accum.Min
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.impl.accum.Prod
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
 
zeroFloat() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
zeroFloat() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
Initial value for the index accumulation.
zeroFraction(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
zeroFraction(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Full array zero fraction array reduction operation, optionally along specified dimensions: out = (count(x == 0) / length(x))
zeroFraction(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Full array zero fraction array reduction operation, optionally along specified dimensions: out = (count(x == 0) / length(x))
ZeroFraction - Class in org.nd4j.linalg.api.ops.impl.accum
Compute the fraction of zero elements
ZeroFraction(SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.accum.ZeroFraction
 
zeroHalf() - Method in interface org.nd4j.linalg.api.ops.Accumulation
Initial value for half
zeroHalf() - Method in class org.nd4j.linalg.api.ops.BaseAccumulation
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.accum.AMin
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.accum.Max
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.accum.Min
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.accum.Prod
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.FirstIndex
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMax
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IAMin
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMax
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.IMin
 
zeroHalf() - Method in class org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex
 
zeroHalf() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
Initial value for the index accumulation.
ZeroInitScheme - Class in org.nd4j.weightinit.impl
Initialize the weight to zero.
ZeroInitScheme(char) - Constructor for class org.nd4j.weightinit.impl.ZeroInitScheme
 
ZeroLengthSequenceException() - Constructor for exception org.datavec.api.timeseries.util.TimeSeriesWritableUtils.ZeroLengthSequenceException
 
ZeroLengthSequenceException(String) - Constructor for exception org.datavec.api.timeseries.util.TimeSeriesWritableUtils.ZeroLengthSequenceException
 
ZeroLengthSequenceException - Exception in org.deeplearning4j.datasets.datavec.exception
Unchecked exception, thrown to signify that a zero-length sequence data set was encountered.
ZeroLengthSequenceException() - Constructor for exception org.deeplearning4j.datasets.datavec.exception.ZeroLengthSequenceException
 
ZeroLengthSequenceException(String) - Constructor for exception org.deeplearning4j.datasets.datavec.exception.ZeroLengthSequenceException
 
zeromeanUnitVariance(DataRowsFacade) - Static method in class org.datavec.spark.transform.Normalization
Normalize by zero mean unit variance
zeromeanUnitVariance(Schema, JavaRDD<List<Writable>>) - Static method in class org.datavec.spark.transform.Normalization
Normalize by zero mean unit variance
zeromeanUnitVariance(DataRowsFacade, List<String>) - Static method in class org.datavec.spark.transform.Normalization
Normalize by zero mean unit variance
zeromeanUnitVariance(Schema, JavaRDD<List<Writable>>, List<String>) - Static method in class org.datavec.spark.transform.Normalization
Normalize by zero mean unit variance
zeroMeanUnitVarianceSequence(Schema, JavaRDD<List<List<Writable>>>) - Static method in class org.datavec.spark.transform.Normalization
Normalize the sequence by zero mean unit variance
zeroMeanUnitVarianceSequence(Schema, JavaRDD<List<List<Writable>>>, List<String>) - Static method in class org.datavec.spark.transform.Normalization
Normalize the sequence by zero mean unit variance
ZeroPadding1DLayer - Class in org.deeplearning4j.nn.conf.layers
Zero padding 1D layer for convolutional neural networks.
ZeroPadding1DLayer(int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
ZeroPadding1DLayer(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
ZeroPadding1DLayer(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
ZeroPadding1DLayer - Class in org.deeplearning4j.nn.layers.convolution
Zero padding 1D layer for convolutional neural networks.
ZeroPadding1DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
ZeroPadding1DLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
ZeroPadding3DLayer - Class in org.deeplearning4j.nn.conf.layers
Zero padding 3D layer for convolutional neural networks.
ZeroPadding3DLayer - Class in org.deeplearning4j.nn.layers.convolution
Zero padding 3D layer for convolutional neural networks.
ZeroPadding3DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
ZeroPadding3DLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
ZeroPaddingLayer - Class in org.deeplearning4j.nn.conf.layers
Zero padding layer for convolutional neural networks.
ZeroPaddingLayer(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
 
ZeroPaddingLayer(int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
 
ZeroPaddingLayer - Class in org.deeplearning4j.nn.layers.convolution
Zero padding layer for convolutional neural networks.
ZeroPaddingLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
ZeroPaddingLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
zeroPair() - Method in class org.nd4j.linalg.api.ops.BaseIndexAccumulation
 
zeroPair() - Method in interface org.nd4j.linalg.api.ops.IndexAccumulation
The initial value and initial index to use for the accumulation
zeros(long, long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Creates a row vector with the specified number of columns
zeros(long) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Creates a row vector with the specified number of columns
zeros(int[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
Create an ndarray of zeros
zeros(long[]) - Method in class org.nd4j.linalg.factory.BaseNDArrayFactory
 
zeros(int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int, int, int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int[], int[], long) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int, int, int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int[], int[]) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int[], DataBuffer.Type) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int, int, int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int[], int[], long, char) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int, int, int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int[], int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int, int, char) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(long, long) - Static method in class org.nd4j.linalg.factory.Nd4j
Creates a row vector with the specified number of columns
zeros(int) - Static method in class org.nd4j.linalg.factory.Nd4j
Creates a row vector with the specified number of columns
zeros(int[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
Create an ndarray of zeros
zeros(long[], char) - Static method in class org.nd4j.linalg.factory.Nd4j
 
zeros(int...) - Static method in class org.nd4j.linalg.factory.Nd4j
Create an ndarray of zeros
zeros(long...) - Static method in class org.nd4j.linalg.factory.Nd4j
Create an ndarray of zeros
zeros(long, long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Creates a row vector with the specified number of columns
zeros(long) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Creates a row vector with the specified number of columns
zeros(int[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
Create an ndarray of zeros
zeros(long[]) - Method in interface org.nd4j.linalg.factory.NDArrayFactory
 
zerosLike(SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
zerosLike(String, SDVariable) - Method in class org.nd4j.autodiff.functions.DifferentialFunctionFactory
 
zerosLike(SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Return a variable of all 0s, with the same shape as the input variable.
zerosLike(String, SDVariable) - Method in class org.nd4j.autodiff.samediff.SameDiff
Return a variable of all 0s, with the same shape as the input variable.
ZerosLike - Class in org.nd4j.linalg.api.ops.impl.shape
Reshape function
ZerosLike() - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike
 
ZerosLike(String, SameDiff, SDVariable) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike
 
ZerosLike(String, SameDiff, SDVariable, boolean) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike
 
ZerosLike(INDArray, INDArray) - Constructor for class org.nd4j.linalg.api.ops.impl.shape.ZerosLike
 
zerosLike(INDArray) - Static method in class org.nd4j.linalg.factory.Nd4j
Empty like
zerosMatrix(long...) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
zerosMatrix(int...) - Static method in class org.nd4j.linalg.util.ArrayUtil
 
zeroUseCounter - Variable in class org.nd4j.jita.handler.impl.CudaZeroHandler
 
zip(int[], int[]) - Static method in class org.nd4j.linalg.util.ArrayUtil
Zip 2 arrays in to:
zoo - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
ZooModel<T> - Class in org.deeplearning4j.zoo
A zoo model is instantiable, returns information about itself, and can download pretrained models if available.
ZooModel() - Constructor for class org.deeplearning4j.zoo.ZooModel
 
ZooType - Enum in org.deeplearning4j.zoo
Enumerator for choosing different models, and different types of models.
zVertexId - Variable in class org.nd4j.linalg.api.ops.BaseOp
 
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