tf.nn.rnn_cell.DropoutWrapper

class tf.nn.rnn_cell.DropoutWrapper Operator adding dropout to inputs and outputs of the given cell.

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tf.nn.rnn_cell.RNNCell.state_size

tf.nn.rnn_cell.RNNCell.state_size size(s) of state(s) used by this cell. It can be represented

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tf.nn.rnn_cell.BasicRNNCell.zero_state()

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

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tf.nn.rnn_cell.MultiRNNCell.output_size

tf.nn.rnn_cell.MultiRNNCell.output_size

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tf.nn.rnn_cell.InputProjectionWrapper

class tf.nn.rnn_cell.InputProjectionWrapper Operator adding an input projection to the given cell. Note:

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tf.nn.rnn_cell.LSTMCell.zero_state()

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

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tf.nn.rnn_cell.RNNCell.

tf.nn.rnn_cell.RNNCell.__call__(inputs, state, scope=None) Run this RNN cell on inputs, starting from the given state.

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tf.nn.rnn_cell.OutputProjectionWrapper.state_size

tf.nn.rnn_cell.OutputProjectionWrapper.state_size

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tf.nn.rnn_cell.RNNCell.output_size

tf.nn.rnn_cell.RNNCell.output_size Integer or TensorShape: size of outputs produced by this cell.

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tf.nn.rnn_cell.GRUCell.zero_state()

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

2016-10-14 13:08:31