New tutorial: a ten-minute introduction to sequence-to-sequence learning in Keras - https://blog.keras.io/a-ten-minute-introduction-to-sequence-to-sequence-learning-in-keras.html …
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Is there a straight-forward way to use hierarchical softmax/NCE/sampled softmax in native Keras to make language models scale?
If you have a TF implementation of hierarchical softmax, it would be a 2-line change to put it in a Keras model. Happy to show how
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I did this a little a while ago (see pic) but it felt a little clunky/inelegant. Would love to see a more streamlined version.pic.twitter.com/B0sGbarbar
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Was attempting to recreate the big models from this paper: https://arxiv.org/abs/1602.02410 so I had to put parts of the model on separate GPUs
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