Package org.deeplearning4j.nn.conf.layers

Class Summary

Class	Description
ActivationLayer
ActivationLayer.Builder
AutoEncoder	Autoencoder.
AutoEncoder.Builder
BaseOutputLayer
BaseOutputLayer.Builder<T extends BaseOutputLayer.Builder<T>>
BasePretrainNetwork
BasePretrainNetwork.Builder<T extends BasePretrainNetwork.Builder<T>>
BaseRecurrentLayer
BaseRecurrentLayer.Builder<T extends BaseRecurrentLayer.Builder<T>>
BatchNormalization	Batch normalization configuration
BatchNormalization.Builder
ConvolutionLayer
ConvolutionLayer.Builder
DenseLayer	Dense layer: fully connected feed forward layer trainable by backprop.
DenseLayer.Builder
EmbeddingLayer	Embedding layer: feed-forward layer that expects single integers per example as input (class numbers, in range 0 to numClass-1) as input.
EmbeddingLayer.Builder
FeedForwardLayer	Created by jeffreytang on 7/21/15.
FeedForwardLayer.Builder<T extends FeedForwardLayer.Builder<T>>
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
InputTypeUtil	Utilities for calculating input types
Layer	A neural network layer.
Layer.Builder<T extends Layer.Builder<T>>
LocalResponseNormalization	Created by nyghtowl on 10/29/15.
LocalResponseNormalization.Builder
LossLayer	LossLayer is a flexible output "layer" that performs a loss function on an input without MLP logic.
LossLayer.Builder
OutputLayer	Output layer with different objective co-occurrences for different objectives.
OutputLayer.Builder
RBM	Restricted Boltzmann Machine.
RBM.Builder
RnnOutputLayer
RnnOutputLayer.Builder
SubsamplingLayer	Subsampling layer also referred to as pooling in convolution neural nets Supports the following pooling types: MAX AVG NON
SubsamplingLayer.Builder

Enum Summary

Enum	Description
ConvolutionLayer.AlgoMode
RBM.HiddenUnit
RBM.VisibleUnit
SubsamplingLayer.PoolingType