RNN and Cells

RNN and Cells (contrib)

Module for constructing RNN Cells and additional RNN operations.

Base interface for all RNN Cells

• tf.contrib.rnn.RNNCell

Core RNN Cells for use with TensorFlow's core RNN methods

• tf.contrib.rnn.BasicRNNCell
• tf.contrib.rnn.BasicLSTMCell
• tf.contrib.rnn.GRUCell
• tf.contrib.rnn.LSTMCell
• tf.contrib.rnn.LayerNormBasicLSTMCell

Classes storing split `RNNCell` state

• tf.contrib.rnn.LSTMStateTuple

Core RNN Cell wrappers (RNNCells that wrap other RNNCells)

• tf.contrib.rnn.MultiRNNCell
• tf.contrib.rnn.LSTMBlockWrapper
• tf.contrib.rnn.DropoutWrapper
• tf.contrib.rnn.EmbeddingWrapper
• tf.contrib.rnn.InputProjectionWrapper
• tf.contrib.rnn.OutputProjectionWrapper
• tf.contrib.rnn.DeviceWrapper
• tf.contrib.rnn.ResidualWrapper

Block RNNCells

• tf.contrib.rnn.LSTMBlockCell
• tf.contrib.rnn.GRUBlockCell

Fused RNNCells

• tf.contrib.rnn.FusedRNNCell
• tf.contrib.rnn.FusedRNNCellAdaptor
• tf.contrib.rnn.TimeReversedFusedRNN
• tf.contrib.rnn.LSTMBlockFusedCell

LSTM-like cells

• tf.contrib.rnn.CoupledInputForgetGateLSTMCell
• tf.contrib.rnn.TimeFreqLSTMCell
• tf.contrib.rnn.GridLSTMCell

RNNCell wrappers

• tf.contrib.rnn.AttentionCellWrapper
• tf.contrib.rnn.CompiledWrapper

Recurrent Neural Networks

TensorFlow provides a number of methods for constructing Recurrent Neural Networks.

• tf.contrib.rnn.static_rnn
• tf.contrib.rnn.static_state_saving_rnn
• tf.contrib.rnn.static_bidirectional_rnn
• tf.contrib.rnn.stack_bidirectional_dynamic_rnn