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Trainable weights in AttentionLSTMWrapper #33

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saurabhmathur96 opened this issue Feb 28, 2017 · 0 comments

saurabhmathur96 commented Feb 28, 2017

This statement (https://github.com/codekansas/keras-language-modeling/blob/master/attention_lstm.py#L106) overwrites the trainable_weights of the inner LSTM layer. It should add to the weights of the LSTM Layer instead.

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