Contents:
The namespace rnn.
Contents
Detailed Description
Classes
Enums
Functions
Typedefs
Declare class Dense and all the available functions for creating recurrent neural network (RNN) network.
Struct AttentionNodeOp
Struct GRUFastNodeOp
Struct InputFactory
Struct LSTMCellNodeOp
Struct LSTMOutputNodeOp
Struct State
Class AttentionFactory
Class Cell
Class CellFactory
Class CellInput
Class FastLSTM
Class GlobalAttention
Class GRU
Class GRUNematus
Class MultiCellInput
Template Class Multiplicative
Class ReLU
Class RNNFactory
Class SlowLSTM
Class SRU
Class SSRU
Class Stackable
Class StackedCell
Class StackedCellFactory
Class States
Class Tanh
Class TestLSTM
Enum dir
Function marian::rnn::attOps
Function marian::rnn::gruOps
Function marian::rnn::lstmOpsC
Function marian::rnn::lstmOpsO
Typedef marian::rnn::Attention
Typedef marian::rnn::attention
Typedef marian::rnn::cell
Typedef marian::rnn::LSTM
Typedef marian::rnn::MGRU
Typedef marian::rnn::MLSTM
Typedef marian::rnn::rnn
Typedef marian::rnn::StackableFactory
Typedef marian::rnn::stacked_cell