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

Class Summary

Class	Description
Bidirectional
Bidirectional.Builder
LastTimeStep
SimpleRnn
SimpleRnn.Builder
TimeDistributed

Enum Summary

Enum

Description

Bidirectional.Mode

This Mode enumeration defines how the activations for the forward and backward networks should be combined. ADD: out = forward + backward (elementwise addition) MUL: out = forward * backward (elementwise multiplication) AVERAGE: out = 0.5 * (forward + backward) CONCAT: Concatenate the activations. Where 'forward' is the activations for the forward RNN, and 'backward' is the activations for the backward RNN.