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

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

tf.nn.rnn_cell.DropoutWrapper.__init__(cell, input_keep_prob=1.0, output_keep_prob=1.0, seed=None) Create a cell with added input

Contents Neural Network RNN CellsBase interface for all RNN Cellsclass tf.nn.rnn_cell.RNNCell RNN

tf.nn.rnn_cell.InputProjectionWrapper.__call__(inputs, state, scope=None) Run the input projection and then the cell.

tf.nn.rnn_cell.OutputProjectionWrapper.__init__(cell, output_size) Create a cell with output projection.

class tf.nn.rnn_cell.EmbeddingWrapper Operator adding input embedding to the given cell. Note:

tf.nn.rnn_cell.LSTMStateTuple.__getnewargs__() Return self as a plain tuple. Used by copy and pickle.

tf.nn.rnn_cell.InputProjectionWrapper.state_size

tf.nn.rnn_cell.LSTMCell.state_size