tf.nn.rnn_cell.MultiRNNCell.output_size

tf.nn.rnn_cell.MultiRNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args: batch_size: int, float, or unit Tensor representing the batch size. dtype: the data type to use for the state. Returns: If state_size is an int or TensorShape, then the return value is a N-D tensor of shape [batch_size x state_size] filled with zeros. If state_size is a nested list or tuple, then the return value is a nested list or tuple (of the same structure) of 2-D tensors with the shape

tf.nn.rnn_cell.LSTMStateTuple.__getstate__() Exclude the OrderedDict from pickling

tf.nn.rnn_cell.LSTMStateTuple.c Alias for field number 0

class tf.nn.rnn_cell.LSTMStateTuple Tuple used by LSTM Cells for state_size, zero_state, and output state. Stores two elements: (c, h), in that order. Only used when state_is_tuple=True.

tf.nn.rnn_cell.LSTMStateTuple.__getnewargs__() Return self as a plain tuple. Used by copy and pickle.

tf.nn.rnn_cell.LSTMStateTuple.h Alias for field number 1

tf.nn.rnn_cell.LSTMStateTuple.dtype

tf.nn.rnn_cell.LSTMStateTuple.__new__(_cls, c, h) Create new instance of LSTMStateTuple(c, h)

tf.nn.rnn_cell.LSTMCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args: batch_size: int, float, or unit Tensor representing the batch size. dtype: the data type to use for the state. Returns: If state_size is an int or TensorShape, then the return value is a N-D tensor of shape [batch_size x state_size] filled with zeros. If state_size is a nested list or tuple, then the return value is a nested list or tuple (of the same structure) of 2-D tensors with the shapes [b