|TensorFlow 2 version|
Module for constructing RNN Cells.
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
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.