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tf.nn.rnn_cell.MultiRNNCell

class tf.nn.rnn_cell.MultiRNNCell

RNN cell composed sequentially of multiple simple cells.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/rnn_cell.html#MultiRNNCell

doc_TensorFlow

2016-10-14 13:08:35

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

tf.nn.rnn_cell.MultiRNNCell.__init__() tf.nn.rnn_cell.MultiRNNCell.__init__(cells, state_is_tuple=True) Create a RNN cell composed sequentially of a number of RNNCells. Args: cells: list

tf.nn.rnn_cell.MultiRNNCell.output_size tf.nn.rnn_cell.MultiRNNCell.output_size

tf.nn.rnn_cell.MultiRNNCell.state_size tf.nn.rnn_cell.MultiRNNCell.state_size

tf.nn.rnn_cell.MultiRNNCell.zero_state() tf.nn.rnn_cell.MultiRNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args: batch_size: int, float, or unit Tensor represen