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Essentially: - As a TF user, leverage the high-level functionality of tf.keras to define your TF models - If you're using Keras on top of TF and you seek better integration with TF features, switch to tf.keras
We've also got a lot of great new features for tf.keras in the pipeline. Very excited about it
Will there be integration w/Edward?
Someone did a poll recently where pytorch came in as slightly more popular than TF. One of the other choices was Keras
Is there a plan to combine Tf Eager execution and Keras?
Yes, absolutely
How tf.keras is different from tensorflow estimator looks like both are api
I’m actually waiting for the new DL4J backend.
but then, isn‘t it time to deprecate „stand-alone keras“?
I need to come up to speed on this stuff, as our optical correlator is running AI now...
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