A B C D G H N O P R S T

A

activate(INDArray, IActivation) - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper

activate(INDArray, boolean, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper

activate(INDArray, boolean, double, double, double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper

activate(Layer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper

adaptForTensorDescr(int[]) - Static method in class org.deeplearning4j.nn.layers.BaseCudnnHelper

From CuDNN documentation - "Tensors are restricted to having at least 4 dimensions...

alpha - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper

applyDropout(INDArray, INDArray, double) - Method in class org.deeplearning4j.nn.layers.dropout.CudnnDropoutHelper

B

backprop(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.dropout.CudnnDropoutHelper

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, INDArray, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper

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(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

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

batchNormMode - Variable in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper

beta - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper

BIDIRECTIONAL - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper

C

checkCuda(int) - Static method in class org.deeplearning4j.nn.layers.BaseCudnnHelper

checkCudnn(int) - Static method in class org.deeplearning4j.nn.layers.BaseCudnnHelper

checkSupported() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper

checkSupported(double) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper

checkSupported(double, double, double, double) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper

checkSupported(IActivation, IActivation, boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper

createHandles() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext

CudnnBatchNormalizationHelper - Class in org.deeplearning4j.nn.layers.normalization

cuDNN-based helper for the batch normalization layer.

CudnnBatchNormalizationHelper() - Constructor for class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper

CudnnContext() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext

CudnnContext(BaseCudnnHelper.CudnnContext) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext

CudnnConvolutionHelper - Class in org.deeplearning4j.nn.layers.convolution

cuDNN-based helper for the convolution layer.

CudnnConvolutionHelper() - Constructor for class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper

CudnnConvolutionHelper.CudnnForwardArgs - Class in org.deeplearning4j.nn.layers.convolution

CudnnDropoutHelper - Class in org.deeplearning4j.nn.layers.dropout

CuDNN dropout helper Note that for repeatability between calls (for example, for gradient checks), we need to do two things: (a) set the ND4J RNG seed (b) clear the rngStates field

CudnnDropoutHelper() - Constructor for class org.deeplearning4j.nn.layers.dropout.CudnnDropoutHelper

CudnnForwardArgs() - Constructor for class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper.CudnnForwardArgs

CudnnLocalResponseNormalizationHelper - Class in org.deeplearning4j.nn.layers.normalization

cuDNN-based helper for the local response normalization layer.

CudnnLocalResponseNormalizationHelper() - Constructor for class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper

CudnnLSTMHelper - Class in org.deeplearning4j.nn.layers.recurrent

cuDNN-based helper for the recurrent LSTM layer (no peephole connections).

CudnnLSTMHelper() - Constructor for class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper

CudnnSubsamplingHelper - Class in org.deeplearning4j.nn.layers.convolution.subsampling

cuDNN-based helper for the subsampling layer.

CudnnSubsamplingHelper() - Constructor for class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper

D

DataCache() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.DataCache

DataCache(long) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.DataCache

DataCache(BaseCudnnHelper.DataCache) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.DataCache

dataType - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper

dataTypeSize - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper

deallocate() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext.Deallocator

destroyHandles() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext

DROPOUT - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper

G

getCudnnForwardArgs(INDArray, int[], int[], int[], int[], ConvolutionMode, PoolingType) - Static method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper

getMeanCache() - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper

getVarCache() - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper

H

helperMemoryUse() - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper

helperMemoryUse() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper

helperMemoryUse() - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper

helperMemoryUse() - Method in class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper

helperMemoryUse() - Method in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper

N

NUM_LAYERS - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper

NUM_LINEAR_LAYERS - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper

O

org.deeplearning4j.nn.layers - package org.deeplearning4j.nn.layers

org.deeplearning4j.nn.layers.convolution - package org.deeplearning4j.nn.layers.convolution

org.deeplearning4j.nn.layers.convolution.subsampling - package org.deeplearning4j.nn.layers.convolution.subsampling

org.deeplearning4j.nn.layers.dropout - package org.deeplearning4j.nn.layers.dropout

org.deeplearning4j.nn.layers.normalization - package org.deeplearning4j.nn.layers.normalization

org.deeplearning4j.nn.layers.recurrent - package org.deeplearning4j.nn.layers.recurrent

P

preOutput(INDArray, INDArray, INDArray, int[], int[], int[], ConvolutionLayer.AlgoMode, ConvolutionLayer.FwdAlgo, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper

preOutput(INDArray, boolean, int[], INDArray, INDArray, INDArray, INDArray, double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper

R

RNN_MODE - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper

S

sizeInBytes - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper

T

TENSOR_FORMAT - Static variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper

TensorArray() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.TensorArray

TensorArray(long) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.TensorArray

TensorArray(BaseCudnnHelper.TensorArray) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.TensorArray

toCudnnDataType(DataBuffer.Type) - Static method in class org.deeplearning4j.nn.layers.BaseCudnnHelper

A B C D G H N O P R S T