You can try it here:https://github.com/fchollet/keras/pull/7943 …
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Refactoring Keras RNNs to rely on atomic cells. Makes custom RNN easier, and enables creation of efficient stacked RNNs from lists of cells.pic.twitter.com/oaUojVzZkZ
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It removes boilerplate when implementing custom RNNs. If you can write a step fn, you get instant access to a batch level RNN w masking, etc
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Text editor and theme? Please?
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Thanks a lot for that!
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I like how all of the PEP8 is being followed.
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good try.
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tensorflow servering makes the difference, yes, training & experimenting is costly but servering predictions is cheap...
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