tf.nn.rnn_cell.InputProjectionWrapper.output_size
class tf.nn.rnn_cell.DropoutWrapper Operator adding dropout to inputs and outputs of the given cell.
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
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.RNNCell.__call__(inputs, state, scope=None) Run this RNN cell on inputs, starting from the given state.
tf.nn.rnn_cell.OutputProjectionWrapper.state_size
tf.nn.rnn_cell.GRUCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:
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