What exactly does this do?
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Use Keras `fit` (and Keras optimizer) to train a model on data pulled from TF queues, to minimize an externally-defined loss.
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is it the new keras-tensorflow integration? I can see calls to some tf functions.
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Keras works with TensorFlow, even on Windows, but it's much slower than Keras with Theano, for now
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Will there be code style guidelines or is the idea to let the user choose between TF and Keras variations as much as they want ?
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Really enjoyed the frankness and smarts of your podcast interview. (Just getting into learning Keras.)
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Which podcast is it? :D Would love to listen!
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eagerly waiting for tf.keras for seamless integration. It will be great if functions like fit and predict can return tf.summary
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nice! This should help with implementing RL algorithms in a cleaner way.
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That is goose-bumps-tier stuff
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