The TensorFlow Dev Summit introduced very many interesting facets to the TensorFlow Ecosystem that will make the life of developers much easier. Of most importance to me is the integration with the Keras API. This has definitely made it very easy to define machine learning models. Keras received massive adoption by developers because it is user-friendly, easy to extend, and modular. Another key feature is the movement to the eager execution mode. We now no longer have to define sessions before running our code.

Another important update from the summit is the collaboration with Udacity, Fast.ai, and Deeplearning.ai to offer TensorFlow courses. You can head over the new TensorFlow website and try your hand on TensorFlow 2.0 Alpha. And if you’d like to check out details about announcements for mobile and edge, platforms, head on over to our mobile roundup here:

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