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Let's be clear: there isn't any "TF *or* Keras" choice to make. Keras is an API, rather than a standalone framework, and it's the official high-level API of TF (via tf.keras). You should use TF *and* Keras! A powerful combination, both easy-to-use and flexible/extensible.https://twitter.com/todddavid/status/971942826148802560 …
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
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