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@ -52,8 +52,8 @@ class RNNCell(object):
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LSTM (Long Short Term Memory) or GRU (Gated Recurrent Unit), and a number
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LSTM (Long Short Term Memory) or GRU (Gated Recurrent Unit), and a number
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of operators that allow add dropouts, projections, or embeddings for inputs.
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of operators that allow add dropouts, projections, or embeddings for inputs.
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Constructing multi-layer cells is supported by a super-class, MultiRNNCell,
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Constructing multi-layer cells is supported by a super-class, MultiRNNCell,
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defined later. Every RNNCell must have the properties below and and
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defined later. Every RNNCell must have the properties below and implement
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implement __call__ with the following signature.
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__call__ with the following signature.
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"""
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"""
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def __call__(self, inputs, state, scope=None):
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def __call__(self, inputs, state, scope=None):
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