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# RNN and Cells (contrib)
[TOC]
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`
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