Uses of Package
org.deeplearning4j.nn.conf.layers

Packages that use org.deeplearning4j.nn.conf.layers

Package	Description
org.deeplearning4j.nn.api
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.inputs
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.layers.convolutional
org.deeplearning4j.nn.conf.layers.misc
org.deeplearning4j.nn.conf.layers.objdetect
org.deeplearning4j.nn.conf.layers.recurrent
org.deeplearning4j.nn.conf.layers.samediff
org.deeplearning4j.nn.conf.layers.util
org.deeplearning4j.nn.conf.layers.variational
org.deeplearning4j.nn.conf.layers.wrapper
org.deeplearning4j.nn.conf.ocnn
org.deeplearning4j.nn.conf.preprocessor
org.deeplearning4j.nn.conf.serde
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.convolution
org.deeplearning4j.nn.layers.convolution.subsampling
org.deeplearning4j.nn.layers.mkldnn
org.deeplearning4j.nn.layers.ocnn
org.deeplearning4j.nn.layers.recurrent
org.deeplearning4j.nn.layers.util
org.deeplearning4j.nn.params
org.deeplearning4j.nn.transferlearning
org.deeplearning4j.util

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.api

Class and Description
Layer A neural network layer.

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf

Class and Description
ConvolutionLayer.AlgoMode The "PREFER_FASTEST" mode will pick the fastest algorithm for the specified parameters from the ConvolutionLayer.FwdAlgo, ConvolutionLayer.BwdFilterAlgo, and ConvolutionLayer.BwdDataAlgo lists, but they may be very memory intensive, so if weird errors occur when using cuDNN, please try the "NO_WORKSPACE" mode.
Layer A neural network layer.

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.inputs

Class and Description
Convolution3D.DataFormat An optional dataFormat: "NDHWC" or "NCDHW".

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.layers

Class and Description
AbstractLSTM
AbstractLSTM.Builder
ActivationLayer
ActivationLayer.Builder
AutoEncoder
AutoEncoder.Builder
BaseLayer A neural network layer.
BaseLayer.Builder
BaseOutputLayer
BaseOutputLayer.Builder
BasePretrainNetwork
BasePretrainNetwork.Builder
BaseRecurrentLayer
BaseRecurrentLayer.Builder
BaseUpsamplingLayer Upsampling base layer
BaseUpsamplingLayer.UpsamplingBuilder
BatchNormalization
BatchNormalization.Builder
CapsuleLayer.Builder
CapsuleStrengthLayer.Builder
CenterLossOutputLayer
CenterLossOutputLayer.Builder
Cnn3DLossLayer
Cnn3DLossLayer.Builder
CnnLossLayer
CnnLossLayer.Builder
Convolution1DLayer
Convolution1DLayer.Builder
Convolution3D
Convolution3D.Builder
Convolution3D.DataFormat An optional dataFormat: "NDHWC" or "NCDHW".
ConvolutionLayer
ConvolutionLayer.AlgoMode The "PREFER_FASTEST" mode will pick the fastest algorithm for the specified parameters from the ConvolutionLayer.FwdAlgo, ConvolutionLayer.BwdFilterAlgo, and ConvolutionLayer.BwdDataAlgo lists, but they may be very memory intensive, so if weird errors occur when using cuDNN, please try the "NO_WORKSPACE" mode.
ConvolutionLayer.BaseConvBuilder
ConvolutionLayer.Builder
ConvolutionLayer.BwdDataAlgo The backward data algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
ConvolutionLayer.BwdFilterAlgo The backward filter algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
ConvolutionLayer.FwdAlgo The forward algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
Deconvolution2D
Deconvolution2D.Builder
Deconvolution3D
Deconvolution3D.Builder
DenseLayer
DenseLayer.Builder
DepthwiseConvolution2D
DepthwiseConvolution2D.Builder
DropoutLayer
EmbeddingLayer
EmbeddingLayer.Builder
EmbeddingSequenceLayer
EmbeddingSequenceLayer.Builder
FeedForwardLayer
FeedForwardLayer.Builder
GlobalPoolingLayer
GlobalPoolingLayer.Builder
GravesBidirectionalLSTM Deprecated.
GravesBidirectionalLSTM.Builder Deprecated.
GravesLSTM Deprecated.
Layer A neural network layer.
Layer.Builder
LearnedSelfAttentionLayer
LearnedSelfAttentionLayer.Builder
LocallyConnected1D
LocallyConnected1D.Builder
LocallyConnected2D
LocallyConnected2D.Builder
LocalResponseNormalization
LocalResponseNormalization.Builder
LossLayer
LossLayer.Builder
LSTM
NoParamLayer
OutputLayer
OutputLayer.Builder
PoolingType Pooling type: MAX: Max pooling - output is the maximum value of the input values AVG: Average pooling - output is the average value of the input values SUM: Sum pooling - output is the sum of the input values PNORM: P-norm pooling
PReLULayer
PReLULayer.Builder
PrimaryCapsules.Builder
RecurrentAttentionLayer
RecurrentAttentionLayer.Builder
RnnLossLayer
RnnLossLayer.Builder
RnnOutputLayer
RnnOutputLayer.Builder
SelfAttentionLayer
SelfAttentionLayer.Builder
SeparableConvolution2D
SeparableConvolution2D.Builder
SpaceToBatchLayer
SpaceToBatchLayer.Builder
SpaceToDepthLayer
SpaceToDepthLayer.Builder
SpaceToDepthLayer.DataFormat Deprecated. Use CNN2DFormat instead
Subsampling1DLayer
Subsampling1DLayer.Builder
Subsampling3DLayer
Subsampling3DLayer.BaseSubsamplingBuilder
Subsampling3DLayer.Builder
Subsampling3DLayer.PoolingType
SubsamplingLayer
SubsamplingLayer.BaseSubsamplingBuilder
SubsamplingLayer.Builder
SubsamplingLayer.PoolingType
Upsampling1D
Upsampling1D.Builder
Upsampling2D
Upsampling2D.Builder
Upsampling3D
Upsampling3D.Builder
ZeroPadding1DLayer
ZeroPadding3DLayer
ZeroPaddingLayer
ZeroPaddingLayer.Builder

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.layers.convolutional

Class and Description
Layer A neural network layer.
Layer.Builder
NoParamLayer

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.layers.misc

Class and Description
BaseLayer A neural network layer.
BaseLayer.Builder
FeedForwardLayer
FeedForwardLayer.Builder
Layer A neural network layer.
Layer.Builder

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.layers.objdetect

Class and Description
Layer A neural network layer.
Layer.Builder

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.layers.recurrent

Class and Description
BaseLayer A neural network layer.
BaseLayer.Builder
BaseRecurrentLayer
BaseRecurrentLayer.Builder
FeedForwardLayer
FeedForwardLayer.Builder
Layer A neural network layer.
Layer.Builder

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.layers.samediff

Class and Description
Layer A neural network layer.
Layer.Builder

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.layers.util

Class and Description
Layer A neural network layer.
Layer.Builder
NoParamLayer

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.layers.variational

Class and Description
BaseLayer A neural network layer.
BaseLayer.Builder
BasePretrainNetwork
BasePretrainNetwork.Builder
FeedForwardLayer
FeedForwardLayer.Builder
Layer A neural network layer.
Layer.Builder

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.layers.wrapper

Class and Description
Layer A neural network layer.
Layer.Builder

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.ocnn

Class and Description
BaseLayer A neural network layer.
BaseLayer.Builder
BaseOutputLayer
BaseOutputLayer.Builder
FeedForwardLayer
FeedForwardLayer.Builder
Layer A neural network layer.
Layer.Builder

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.preprocessor

Class and Description
Convolution3D.DataFormat An optional dataFormat: "NDHWC" or "NCDHW".

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.conf.serde

Class and Description
BaseLayer A neural network layer.
BaseOutputLayer
Layer A neural network layer.

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.layers

Class and Description
BaseOutputLayer
BasePretrainNetwork
Layer A neural network layer.

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.layers.convolution

Class and Description
Convolution1DLayer
ConvolutionLayer.AlgoMode The "PREFER_FASTEST" mode will pick the fastest algorithm for the specified parameters from the ConvolutionLayer.FwdAlgo, ConvolutionLayer.BwdFilterAlgo, and ConvolutionLayer.BwdDataAlgo lists, but they may be very memory intensive, so if weird errors occur when using cuDNN, please try the "NO_WORKSPACE" mode.
ConvolutionLayer.BwdDataAlgo The backward data algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
ConvolutionLayer.BwdFilterAlgo The backward filter algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
ConvolutionLayer.FwdAlgo The forward algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.layers.convolution.subsampling

Class and Description
PoolingType Pooling type: MAX: Max pooling - output is the maximum value of the input values AVG: Average pooling - output is the average value of the input values SUM: Sum pooling - output is the sum of the input values PNORM: P-norm pooling

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.layers.mkldnn

Class and Description
ConvolutionLayer.AlgoMode The "PREFER_FASTEST" mode will pick the fastest algorithm for the specified parameters from the ConvolutionLayer.FwdAlgo, ConvolutionLayer.BwdFilterAlgo, and ConvolutionLayer.BwdDataAlgo lists, but they may be very memory intensive, so if weird errors occur when using cuDNN, please try the "NO_WORKSPACE" mode.
ConvolutionLayer.BwdDataAlgo The backward data algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
ConvolutionLayer.BwdFilterAlgo The backward filter algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
ConvolutionLayer.FwdAlgo The forward algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
PoolingType Pooling type: MAX: Max pooling - output is the maximum value of the input values AVG: Average pooling - output is the average value of the input values SUM: Sum pooling - output is the sum of the input values PNORM: P-norm pooling

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.layers.ocnn

Class and Description
Layer A neural network layer.

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.layers.recurrent

Class and Description
AbstractLSTM
BaseRecurrentLayer
FeedForwardLayer
GravesBidirectionalLSTM Deprecated.

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.layers.util

Class and Description
Layer A neural network layer.

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.params

Class and Description
Layer A neural network layer.

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.nn.transferlearning

Class and Description
ConvolutionLayer.AlgoMode The "PREFER_FASTEST" mode will pick the fastest algorithm for the specified parameters from the ConvolutionLayer.FwdAlgo, ConvolutionLayer.BwdFilterAlgo, and ConvolutionLayer.BwdDataAlgo lists, but they may be very memory intensive, so if weird errors occur when using cuDNN, please try the "NO_WORKSPACE" mode.
Layer A neural network layer.

Classes in org.deeplearning4j.nn.conf.layers used by org.deeplearning4j.util

Class and Description
Convolution3D.DataFormat An optional dataFormat: "NDHWC" or "NCDHW".
Layer A neural network layer.
PoolingType Pooling type: MAX: Max pooling - output is the maximum value of the input values AVG: Average pooling - output is the average value of the input values SUM: Sum pooling - output is the sum of the input values PNORM: P-norm pooling