Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
https://blog.tensorflow.org/2019/05/introducing-tensorflow-graphics_9.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLtbFBddaXSQ9x-oBlhU_mUrk7nd9XpEr0bWXFRiE9lNjdeGKKf6Zl5DKbqn7eiaY032Wmck2JDliqalyJx_f43Y-4Mspjkz3X7eBze1o7NhSnsyDRvEIpHli9oqEFBuJshVeRt7cEmW02/s1600/tf+graphics.jpeg May 09, 2019 — Posted by Julien Valentin and Sofien Bouaziz Github repository: https://github.com/te
What’s coming in TensorFlow 2.0
https://blog.tensorflow.org/2019/01/whats-coming-in-tensorflow-2-0.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEih3dh8TfcreBO1iYiVYsVl0KyhxL_Lv77mGLB6xmLDXd4eFd-l9Az9Jx-U2mZRXopNOtJoRGYX8fFk_XdTSGjfVsKKat9erGMcIjOQ-G4ERedqcv7-z4urSJS-0XZrp1SUszOmi7U-GHc/s1600/model.png January 14, 2019 — Posted by the TensorFlow Team Thanks to an incredible and diverse community, TensorFlow has
TensorFlow 1.9 Officially Supports the Raspberry Pi
When TensorFlow was first launched in 2015, we wanted it to be an “open source machine learning framework for everyone”. To do that, we need to run on as many of the platforms that people are using as possible. We’ve long supported Linux, MacOS, Windows, iOS, and Android, but despite the heroic efforts of many contributors, running TensorFlow on a Raspberry Pi has involved a lot of work. Thanks to
Seedbank — discover machine learning examples
Posted by Michael Tyka, Artists + Machine Intelligence Discovering and getting started with Machine Learning can be daunting. Perhaps you have a vague project idea and are looking for a place to start and adapt from. Or you’re looking for inspiration and want to get a sense of what’s possible. Today we’re launching Seedbank, a place to discover interactive machine learning examples which you can r
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AMD ROCm GPU support for TensorFlow