Creates a recurrent neural network specified by RNNCell `cell`. The simplest form of RNN network generated is: ```python state = cell.zero_state(...) outputs = [] for input_ in inputs: output, state = cell(input_, state) outputs.append(output) return (outputs, state
(cell,
inputs,
initial_state=None,
dtype=None,
sequence_length=None,
scope=None)
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