People ask how to implement LSTM Seq2Seq in Keras. Here's the tweet version (a bit verbose). I'll publish the complete script soon.pic.twitter.com/r85bNQpQwr
Deep learning @google. Creator of Keras. Author of 'Deep Learning with Python'. Opinions are my own.
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People ask how to implement LSTM Seq2Seq in Keras. Here's the tweet version (a bit verbose). I'll publish the complete script soon.pic.twitter.com/r85bNQpQwr
What if one would like to try without basic teacher forcing, also using the output of the decoder?
The model above uses teacher forcing for training. Not-teacher-forcing could be done with a custom RNN cell, or a static loop for fixed-len
Do you know where I can find good examples of this? Thanks!
I will be posting a blog post about seq2seq, which will include a code example for the static loop solution.
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