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

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

Package	Description
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.layers.setup
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.convolution
org.deeplearning4j.nn.layers.convolution.subsampling
org.deeplearning4j.util

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

Class and Description
Layer A neural network layer.

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

Class and Description
ActivationLayer
AutoEncoder Autoencoder.
AutoEncoder.Builder
BaseOutputLayer
BaseOutputLayer.Builder
BasePretrainNetwork
BasePretrainNetwork.Builder
BaseRecurrentLayer
BaseRecurrentLayer.Builder
BatchNormalization Batch normalization configuration
BatchNormalization.Builder
ConvolutionLayer
ConvolutionLayer.AlgoMode
ConvolutionLayer.Builder
DenseLayer Dense layer: fully connected feed forward layer trainable by backprop.
EmbeddingLayer Embedding layer: feed-forward layer that expects single integers per example as input (class numbers, in range 0 to numClass-1) as input.
FeedForwardLayer Created by jeffreytang on 7/21/15.
FeedForwardLayer.Builder
GravesBidirectionalLSTM LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
GravesBidirectionalLSTM.Builder
GravesLSTM LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
GravesLSTM.Builder
Layer A neural network layer.
Layer.Builder
LocalResponseNormalization Created by nyghtowl on 10/29/15.
LocalResponseNormalization.Builder
OutputLayer Output layer with different objective co-occurrences for different objectives.
OutputLayer.Builder
RBM Restricted Boltzmann Machine.
RBM.Builder
RBM.HiddenUnit
RBM.VisibleUnit
RnnOutputLayer
SubsamplingLayer Subsampling layer also referred to as pooling in convolution neural nets Supports the following pooling types: MAX AVG NON
SubsamplingLayer.Builder
SubsamplingLayer.PoolingType

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

Class and Description
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
ConvolutionLayer.AlgoMode

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

Class and Description
SubsamplingLayer.PoolingType

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

Class and Description
RBM.HiddenUnit
RBM.VisibleUnit