Uses of Class
org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer

Packages that use BaseRecurrentLayer

Package	Description
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.layers.recurrent

Uses of BaseRecurrentLayer in org.deeplearning4j.nn.conf.layers

Subclasses of BaseRecurrentLayer in org.deeplearning4j.nn.conf.layers

Modifier and Type	Class and Description
class	AbstractLSTM LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
class	GravesBidirectionalLSTM Deprecated. use Bidirectional instead. With the Bidirectional layer wrapper you can make any recurrent layer bidirectional, in particular GravesLSTM. Note that this layer adds the output of both directions, which translates into "ADD" mode in Bidirectional. Usage: .layer(new Bidirectional(Bidirectional.Mode.ADD, new GravesLSTM.Builder()....build()))
class	GravesLSTM LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
class	LSTM LSTM recurrent net without peephole connections.

Uses of BaseRecurrentLayer in org.deeplearning4j.nn.conf.layers.recurrent

Subclasses of BaseRecurrentLayer in org.deeplearning4j.nn.conf.layers.recurrent

Modifier and Type	Class and Description
class	SimpleRnn Simple RNN - aka "vanilla" RNN is the simplest type of recurrent neural network layer.