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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`