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by fchollet on 2019-09-28 (UTC).

TF-Explain: model interpretability utilities for tf.keras https://t.co/YFmOHGO3dV

— François Chollet (@fchollet) September 28, 2019
tensorflowtool
by random_forests on 2019-09-30 (UTC).

TensorFlow 2.0 has been released! Congrats everyone, and thanks for making this possible.

Release notes: https://t.co/NSgSiswauO

— Josh Gordon (@random_forests) September 30, 2019
tensorflowtool
by fchollet on 2019-09-30 (UTC).

To get started, check out this tf.keras guide: https://t.co/iaH4Q5Qsvr

In particular "Guide to training and evaluation" and "Guide to writing layers and models from scratch with subclassing" highlights some of the major changes.

— François Chollet (@fchollet) September 30, 2019
learningtensorflowtutorial
by fchollet on 2019-09-30 (UTC).

One of my favorite things about TensorFlow 2.0 is that it brings high-level UX and low-level flexibility together fluently.

This is the result of 4 years of watching practitioners and researchers use the product, and thinking about how we can make life better for both.

— François Chollet (@fchollet) September 30, 2019
tensorflow
by TensorFlow on 2019-09-30 (UTC).

🗣 Attention #TensorFlow community!

We are excited to announce TensorFlow 2.0. Inspired by all of your feedback, this powerful and easy-to-use framework includes tight Keras integration, expanded TF datasets, and more.

Watch @lmoroney present here → https://t.co/bzI1vDZDnV pic.twitter.com/uoPvOXJnzP

— TensorFlow (@TensorFlow) September 30, 2019
tensorflowvideo
by fchollet on 2019-10-04 (UTC).

An end-to-end tutorial showing how to deploy Keras models on Android via TFLite: https://t.co/QRGYs2EJMP

— François Chollet (@fchollet) October 4, 2019
tensorflowlearningtutorial
by fchollet on 2019-10-05 (UTC).

I just wrote an extensive TensorFlow 2.0 + Keras overview, targeted at deep learning researchers: https://t.co/k694J95PI8

Hope you will find it useful! Let me know if you have any feedback.

— François Chollet (@fchollet) October 5, 2019
learningtensorflow

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