Uses of Package org.deeplearning4j.nn.conf.layers.recurrent (deeplearning4j 1.0.0-beta6 API)

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Packages that use org.deeplearning4j.nn.conf.layers.recurrent
Package	Description
org.deeplearning4j.nn.conf.layers.recurrent
org.deeplearning4j.nn.modelimport.keras.layers.wrappers
org.deeplearning4j.nn.params

Classes in org.deeplearning4j.nn.conf.layers.recurrent used by org.deeplearning4j.nn.conf.layers.recurrent
Class and Description
Bidirectional Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.
Bidirectional.Builder
Bidirectional.Mode This Mode enumeration defines how the activations for the forward and backward networks should be combined.
SimpleRnn Simple RNN - aka "vanilla" RNN is the simplest type of recurrent neural network layer.
SimpleRnn.Builder

Classes in org.deeplearning4j.nn.conf.layers.recurrent used by org.deeplearning4j.nn.modelimport.keras.layers.wrappers
Class and Description
Bidirectional Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.

Classes in org.deeplearning4j.nn.conf.layers.recurrent used by org.deeplearning4j.nn.params
Class and Description
Bidirectional Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.

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