class tf.nn.rnn_cell.BasicLSTMCell Basic LSTM recurrent network cell. The implementation is based

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

class tf.nn.rnn_cell.BasicRNNCell The most basic RNN cell.

tf.nn.rnn_cell.EmbeddingWrapper.__call__(inputs, state, scope=None) Run the cell on embedded inputs.

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

tf.nn.rnn_cell.GRUCell.__call__(inputs, state, scope=None) Gated recurrent unit (GRU) with nunits cells.

tf.nn.rnn_cell.LSTMStateTuple.__repr__() Return a nicely formatted representation string

tf.nn.rnn_cell.LSTMStateTuple.dtype