Module: tf.nn.rnn_cell
Module for constructing RNN Cells.
Classes
class BasicLSTMCell
: DEPRECATED: Please use tf.compat.v1.nn.rnn_cell.LSTMCell
instead.
class BasicRNNCell
: The most basic RNN cell.
class DeviceWrapper
: Operator that ensures an RNNCell runs on a particular device.
class DropoutWrapper
: Operator adding dropout to inputs and outputs of the given cell.
class GRUCell
: Gated Recurrent Unit cell (cf.
class LSTMCell
: Long short-term memory unit (LSTM) recurrent network cell.
class LSTMStateTuple
: Tuple used by LSTM Cells for state_size
, zero_state
, and output state.
class MultiRNNCell
: RNN cell composed sequentially of multiple simple cells.
class RNNCell
: Abstract object representing an RNN cell.
class ResidualWrapper
: RNNCell wrapper that ensures cell inputs are added to the outputs.
© 2020 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/versions/r1.15/api_docs/python/tf/nn/rnn_cell