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An example attention network with simple dataset.
What are x,y,t-1 in Dense(x,yt-1)?
Why not take the output of the previous time step as the input of the next time step, together with context as the input?
"Requires numpy" is in the README... I recommend adding a requirements.txt
file, containing each PyPi package this requires on one line.
IMO you should sort the list before indexing.
return [sorted(list(vocab.keys()))[id] for id in sentence]
BTW, very helpful tutorial. Thanks for sharing~
Hi,
Thank you for your example.
I'm trying to use this Attention example in my LSTM model. However, in def attention layer
, the line
h = Lambda(lambda X: K.zeros(shape=(K.shape(X)[0], n_h)))(X)
caused an error ValueError: Duplicate node name in graph: 'lambda_16/zeros/packed'
Do you know how to solve it? Thanks!
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