Package org.deeplearning4j.nn.layers.recurrent

Interface Summary

Interface	Description
LSTMHelper	Helper for the recurrent LSTM layer (no peephole connections).

Class Summary

Class	Description
BaseRecurrentLayer<LayerConfT extends BaseLayer>
FwdPassReturn	Created by benny on 12/31/15.
GravesBidirectionalLSTM	RNN tutorial: http://deeplearning4j.org/usingrnns.html READ THIS FIRST Bdirectional LSTM layer implementation.
GravesLSTM	LSTM layer implementation.
LSTM	LSTM layer implementation.
LSTMHelpers	RNN tutorial: http://deeplearning4j.org/usingrnns.html READ THIS FIRST if you want to understand what the heck is happening here.
RnnOutputLayer	Recurrent Neural Network Output Layer. Handles calculation of gradients etc for various objective functions. Functionally the same as OutputLayer, but handles output and label reshaping automatically. Input and output activations are same as other RNN layers: 3 dimensions with shape [miniBatchSize,nIn,timeSeriesLength] and [miniBatchSize,nOut,timeSeriesLength] respectively.