In @TensorFlow 1.9, it is much easier to use Keras with the Data API: just pass data iterators, specify the number of steps per epoch, and you're good to go! Plus it works in both graph mode and eager mode, kudos to the TF team! pic.twitter.com/URJMgUCgB4
— Aurélien Geron (@aureliengeron) June 9, 2018
tf.keras programmer's guide is out! On the v1.9 docs pre-release. Highly recommended, this is a great way to develop with @TensorFlow.
— Josh Gordon (@random_forests) June 25, 2018
To try it out you'll need to install the rc: pip install --pre -U tensorflow==1.9.*https://t.co/mf4eZxngxi
Check out this end-to-end example of generating Shakespeare-like text using tf.keras + eager → https://t.co/icSa6DQ0GQ pic.twitter.com/aixjtlHtTS
— TensorFlow (@TensorFlow) July 10, 2018
TensorFlow 1.9 is out, with lots of important new features, and a new getting-started guide based on tf.keras and eager execution.
— François Chollet (@fchollet) July 11, 2018
Whether or not you're a TF user, do check it out: TF has made immense progress recently. Big steps towards the future of ML https://t.co/LAGOoRnfPi
Updated TensorFlow Keras documentation is a treat to read! Keras’s inspiring user empathetic API design and documentaion(models, layers, callbacks etc) + Tensorflow’s super charged new capabilities(eager execution, seamless MultiGPU, Dataset) https://t.co/YA3vbmF84z https://t.co/3r1Ekj6CrB
— Sravya Tirukkovalur (@sravsatuluri) July 11, 2018
Sometimes I still come across people who tell me: "TensorFlow is difficult to use". If that's what you think, you're living in the past! It's not 2016-2017 anymore, and the TensorFlow user experience is really nice now. Brush up or get started: https://t.co/LAGOoR5EqI
— François Chollet (@fchollet) July 18, 2018
Check out these complete code examples for Machine Translation with Attention, Image Captioning, Text Generation, and DCGAN, all implemented with tf.keras and eager execution.
— TensorFlow (@TensorFlow) August 7, 2018
Read @yashk2810's post here ↓ https://t.co/U8D6Aw6W4p
