Keras in TensorFlow 2.0 has a new developer guide, with lots of useful content for power users: https://t.co/Dzrl15ftto
— François Chollet (@fchollet) March 22, 2019
Keras in TensorFlow 2.0 has a new developer guide, with lots of useful content for power users: https://t.co/Dzrl15ftto
— François Chollet (@fchollet) March 22, 2019
TFX is an end-to-end platform for deploying production ML pipelines https://t.co/ZKRoZewbOM #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience
— TensorFlow Best Practices (@TFBestPractices) March 21, 2019
Don’t forget to check out the ML details and use the pretrained model in your own app, details here: https://t.co/CpZ8cYsx4A
— Nikhil Thorat (@nsthorat) March 21, 2019
✨👩🏫 "As you’ve seen, @TensorFlow 2.0 Alpha is much easier to implement compared to TensorFlow 1.0. It’s now much easier to define your model using the #Keras implementation." #PoweredByTF
— 👩💻 DynamicWebPaige 🔜 algorithmic art assembly (@DynamicWebPaige) March 18, 2019
Great post from @_mwitiderrick + @fritzlabs! 🙌https://t.co/d3xEBw7LWi
Nice work by Emil Wallner. ~100 lines of @TensorFlow to train model to color B&W images.
— Jeff Dean (@JeffDean) March 16, 2019
"Bananas are easy because they’re almost always yellow & have a unique shape. Moons & planets can be more confusing because of similarities they share w/each other"https://t.co/ZsOmZVryqu
A generative chatbot project that uses a LSTM-based seq2seq model: https://t.co/vxrfHYxQwK
— François Chollet (@fchollet) March 14, 2019
Google Keyboard is now offering server-quality speech recognition using @TensorFlow Lite on-device! https://t.co/AtcDgoowIS
— Pete Warden (@petewarden) March 12, 2019
Are you a deep learning researcher? Wondering if all this TensorFlow 2.0 stuff you heard about is relevant to you?
— François Chollet (@fchollet) March 11, 2019
This thread is a crash course on everything you need to know to use TensorFlow 2.0 + Keras for deep learning research. Read on! pic.twitter.com/dFNI2E6yjF
That's a wrap on #TFDevSummit 2019! Thank you to everyone who attended and tuned in.
— TensorFlow (@TensorFlow) March 8, 2019
Don't worry if you missed anything, we've got you covered. Check out our recap blog for all the major highlights and announcements!
Read the recap here → https://t.co/E8MJdRzvxD pic.twitter.com/VMhMrpUeZH
Learn more about the #PoweredByTF ML model that ranks the tweets in your timeline! The Cortex and Home Timeline teams at @Twitter describe re-tooling their platform for TensorFlow in this guest post. #TFDevSummit
— TensorFlow (@TensorFlow) March 7, 2019
Read it here ↓ https://t.co/frYDPaIvCj
Everything you need to know about porting your TensorFlow 1.x code to @TensorFlow 2.0, from Tomer and Anna.
— 👩💻 DynamicWebPaige (@DynamicWebPaige) March 7, 2019
👇In-depth guides can be found here:
https://t.co/7OaQG5xTVmhttps://t.co/eTBSLbVySn#TFDevSummit
Send questions to #AskTensorFlow! We'll be answering on YouTube soon. pic.twitter.com/9GvEczt89p
Yesterday we announced TensorFlow Federated: an open framework for federated learning experiments and other computations on decentralized data. We are excited to put this framework in the hands of TensorFlow users! #TFDevSummit
— TensorFlow (@TensorFlow) March 7, 2019
More info on the blog ↓ https://t.co/azPcQ8bYh7