Class | Description |
---|---|
BaseRecurrentLayer<LayerConfT extends Layer> | |
FwdPassReturn |
Created by benny on 12/31/15.
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GravesBidirectionalLSTM |
RNN tutorial: http://deeplearning4j.org/usingrnns.html
READ THIS FIRST
Bdirectional LSTM layer implementation.
|
GravesBidirectionalLSTMTest | |
GravesLSTM |
LSTM layer implementation.
|
GravesLSTMTest | |
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. |