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tf.nn.rnn_cell.DropoutWrapper

class tf.nn.rnn_cell.DropoutWrapper

Operator adding dropout to inputs and outputs of the given cell.

Links:

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

doc_TensorFlow

2016-10-14 13:08:29

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

tf.nn.rnn_cell.DropoutWrapper.__init__() 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 and/or output drop

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

tf.nn.rnn_cell.DropoutWrapper.output_size tf.nn.rnn_cell.DropoutWrapper.output_size