TensorFlowConta verificada

Learn how to deploy two types of TensorFlow 2 models to the @gcpcloud AI Platform for scalable prediction in this walkthrough by @SRobTweets. Check it out → https://goo.gle/2XkgFUp pic.twitter.com/uLAGWnFgIw

In this episode of Inside TensorFlow, Software Engineers Oscar Ramirez and Sergio Guadarrama go over TF-Agents, the latest reinforcement library for TensorFlow. Watch now → https://goo.gle/2UTS6vU pic.twitter.com/AjtAaZoUAW

Learn how @Airbus uses TensorFlow Extended (TFX) to detect anomalies in ISS telemetry data. Read the blog → https://goo.gle/2UVheSZ pic.twitter.com/fKGiT81U0M

Check out the @Waymo Open Dataset and virtual machine learning challenges for a chance to win cash prizes. Learn more → https://waymo.com/open/challenges pic.twitter.com/JuWZL7BTUy

Should you choose performance or accuracy? Why not both? Check out Quantization Aware Training using the Model Optimization Toolkit! Read the blog → https://goo.gle/2VblfBI pic.twitter.com/YwheoY7wB2

Keras APIs, TensorFlow.js, TF Records, and more. This week on #AskTensorFlow, @lmoroney sits down with fellow colleague @jason_mayes to answer all your machine learning questions. Get answers now → https://goo.gle/2XjFtvQ pic.twitter.com/09dLcOe1CI

As TensorFlow.js is used more frequently in production environments, our team recognizes the need for production optimized bundles for browsers. Check out this preview of some of our big plans for upcoming TensorFlow.js releases! Learn more → https://goo.gle/2XhS8PR pic.twitter.com/MOKhb1Yhx4

Inside TensorFlow: http://tf.data  + tf.distribute In this presentation, Jiri Simsa showcases best practices. You’ll learn about the input pipeline, parallel extraction, distributed training, and more. Watch here → https://goo.gle/2wYGEG7 pic.twitter.com/iA17lEyM4T

Accelerate models with TFLite We are excited to announce a new TensorFlow Lite delegate that uses Apple’s Core ML API to enable faster inference on iPhones and iPads. Read all about it → https://goo.gle/3aD9UAR pic.twitter.com/Jt82s9ssQe

TensorFlow Enterprise can support your AI workloads. @jason_mayes and @gogasca share what’s new with enterprise-grade support from TensorFlow Enterprise and how easy it is to get started in Google Cloud. Check out the #TFDevSummit virtual sandbox → https://goo.gle/2Uy12GY pic.twitter.com/HKq0HtlXnK

Meet TensorBoard: TensorFlow’s visualization toolkit Check out the virtual sandbox from #TFDevSummit with Ewa Matejska and @GalOshri. They’ll also show you how to share your research with the world through https://goo.gle/2UX3LZL  Watch here → https://goo.gle/3bMFSe9 pic.twitter.com/kwr8jSdxS7

Combine the power of TFX and native Keras API In this video, Ewa Matejska and Zhitao Li will show you how to do this to make your modeling easier. Watch it here → https://goo.gle/3bCMpIf pic.twitter.com/eEOUEKlBdz

We are excited to update the Model Garden for TensorFlow 2 users. Check out new code examples for state-of-the-art models and reusable modeling libraries. Read the blog → https://goo.gle/2xG7ymg pic.twitter.com/CNCzC5a5e5

TensorFlow 2 is now the default in Colab → https://goo.gle/2wHkB6F  (But the `%tensorflow_version 1.x` magic is still there if you need it.) → https://goo.gle/2wyYNKB pic.twitter.com/2PZY5P8xD5

Machine Learning Zero to Hero is now available in Russian! Join us on our global initiative to make machine learning accessible to developers from all around the world. Learn more here → https://goo.gle/2WS7RVp pic.twitter.com/UnN0wNBlNq