RNN and Cells
RNN and Cells (contrib)
Module for constructing RNN Cells and additional RNN operations.
Base interface for all RNN Cells
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
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
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
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
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_guides/python/contrib.rnn