Package ai.djl.nn.recurrent
Contains classes for recurrent neural network operations.
- See Also:
RecurrentBlock
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Class Summary Class Description GRU GRU
is an abstract implementation of recurrent neural networks which applies GRU (Gated Recurrent Unit) recurrent layer to input.GRU.Builder LSTM LSTM
is an implementation of recurrent neural networks which applies Long Short-Term Memory recurrent layer to input.LSTM.Builder RecurrentBlock RecurrentBlock
is an abstract implementation of recurrent neural networks.RecurrentBlock.BaseBuilder<T extends RecurrentBlock.BaseBuilder> The Builder to construct aRecurrentBlock
type ofBlock
.RNN RNN
is an implementation of recurrent neural networks which applies a single-gate recurrent layer to input.RNN.Builder -
Enum Summary Enum Description RNN.Activation An enum that enumerates the type of activation.