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

tf.nn.rnn_cell.DropoutWrapper.output_size

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

tf.nn.rnn_cell.OutputProjectionWrapper.__init__(cell, output_size) Create a cell with output projection.

tf.nn.rnn_cell.InputProjectionWrapper.__call__(inputs, state, scope=None) Run the input projection and then the cell.

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

tf.nn.rnn_cell.EmbeddingWrapper.output_size

tf.nn.rnn_cell.LSTMCell.state_size

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