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

tf.nn.rnn_cell.DropoutWrapper.output_size

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

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

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

tf.nn.rnn_cell.InputProjectionWrapper.state_size

tf.nn.rnn_cell.DropoutWrapper.__call__(inputs, state, scope=None) Run the cell with the declared dropouts.

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

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

tf.nn.rnn_cell.LSTMCell.__init__(num_units, input_size=None, use_peepholes=False, cell_clip=None, initializer=None, num_proj=None, proj_clip=None, num_unit_shards=1