tf.nn.rnn_cell.BasicLSTMCell.state_size

tf.nn.rnn_cell.InputProjectionWrapper.__init__(cell, num_proj, input_size=None) Create a cell with input projection.

tf.nn.rnn_cell.BasicLSTMCell.__call__(inputs, state, scope=None) Long short-term memory cell (LSTM).

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

tf.nn.rnn_cell.BasicRNNCell.state_size

tf.nn.rnn_cell.LSTMCell.__call__(inputs, state, scope=None) Run one step of LSTM. Args:

class tf.nn.rnn_cell.LSTMCell Long short-term memory unit (LSTM) recurrent network cell. The default

class tf.nn.rnn_cell.LSTMStateTuple Tuple used by LSTM Cells for state_size, zero_state, and output

tf.nn.rnn_cell.BasicRNNCell.__init__(num_units, input_size=None, activation=tanh)

tf.nn.rnn_cell.MultiRNNCell.__call__(inputs, state, scope=None) Run this multi-layer cell on inputs, starting from state.