class tf.nn.rnn_cell.DropoutWrapper Operator adding dropout to inputs and outputs of the given cell.

tf.nn.rnn_cell.OutputProjectionWrapper.__call__(inputs, state, scope=None) Run the cell and output projection on inputs, starting

tf.nn.rnn_cell.RNNCell.output_size Integer or TensorShape: size of outputs produced by this cell.

tf.nn.rnn_cell.BasicRNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

tf.nn.rnn_cell.GRUCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

tf.nn.rnn_cell.MultiRNNCell.output_size

tf.nn.rnn_cell.RNNCell.__call__(inputs, state, scope=None) Run this RNN cell on inputs, starting from the given state.

class tf.nn.rnn_cell.InputProjectionWrapper Operator adding an input projection to the given cell. Note:

tf.nn.rnn_cell.DropoutWrapper.output_size

tf.nn.rnn_cell.OutputProjectionWrapper.state_size