TF-Explain: model interpretability utilities for tf.keras https://t.co/YFmOHGO3dV
— François Chollet (@fchollet) September 28, 2019
TF-Explain: model interpretability utilities for tf.keras https://t.co/YFmOHGO3dV
— François Chollet (@fchollet) September 28, 2019
TensorFlow 2.0 has been released! Congrats everyone, and thanks for making this possible.
— Josh Gordon (@random_forests) September 30, 2019
Release notes: https://t.co/NSgSiswauO
To get started, check out this tf.keras guide: https://t.co/iaH4Q5Qsvr
— François Chollet (@fchollet) September 30, 2019
In particular "Guide to training and evaluation" and "Guide to writing layers and models from scratch with subclassing" highlights some of the major changes.
One of my favorite things about TensorFlow 2.0 is that it brings high-level UX and low-level flexibility together fluently.
— François Chollet (@fchollet) September 30, 2019
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.
🗣 Attention #TensorFlow community!
— TensorFlow (@TensorFlow) September 30, 2019
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
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
I just wrote an extensive TensorFlow 2.0 + Keras overview, targeted at deep learning researchers: https://t.co/k694J95PI8
— François Chollet (@fchollet) October 5, 2019
Hope you will find it useful! Let me know if you have any feedback.