Introducing TensorFlow Graph Neural Networks
Posted by Sibon Li, Jan Pfeifer and Bryan Perozzi and Douglas Yarrington Today, we are excited to release TensorFlow Graph Neural Networks (GNNs), a library designed to make it easy to work with graph structured data using TensorFlow. We have used an earlier version of this library in production at Google in a variety of contexts (for example, spam and anomaly detection, traffic estimation, YouTub
3D Pose Detection with MediaPipe BlazePose GHUM and TensorFlow.js
https://blog.tensorflow.org/2021/08/3d-pose-detection-with-mediapipe-blazepose-ghum-tfjs.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEju5BNMgQYeE9f8fTIExf2qW4JTveDA2sfk5HmAQOZamLVBOPUKcVKkObW_6TfgTTr08usiwi4y1gvVhQfrkAzOhQeuHRa41IN9MvfIOXGqPIsbqsFAxL1USY3o21xOSvhyphenhyphenYHGSaXe8mbA/s0/TF+image+2.gif August 30, 2021 — Posted by Ivan Grishchenko, Valentin Bazarevsky, Eduard Gab
Accelerating TensorFlow Performance on Mac
https://blog.tensorflow.org/2020/11/accelerating-tensorflow-performance-on-mac.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhfOeoWyPa5DuJPkPW26BcXEp1vlex_t0aJDFLzQeBGHZhxNkEs4MTD7sDvqwAQIW6OpjkykNjbBv8l0Q68pE5sVQawOfsAhA2MRNPDlnB1ivcY1Yvg2ETmVlfKyabPLeoyUPwepEWY6sI/s0/image1.jpg November 18, 2020 — Posted by Pankaj Kanwar and Fred Alcober With TensorFlow 2, best-in-class trainin
Introducing TF-Coder, a tool that writes tricky TensorFlow expressions for you!
https://blog.tensorflow.org/2020/08/introducing-tensorflow-coder-tool.html August 26, 2020 — Posted by Kensen Shi, Google Research When manipulating tensors, one must keep track of multiple dimensions, tensor shape and DType compatibility, and of course mathematical correctness. Additionally, there are hundreds of TensorFlow operations, and finding the right ones to use can be a challenge. Instead
TensorFlow 2 meets the Object Detection API
https://blog.tensorflow.org/2020/07/tensorflow-2-meets-object-detection-api.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhKis9ECId8eIwn_p0SVMBt3a1vfvKOcOZXy6zK0fWoyzXnzQTguKc2CV__6oI1Pwg22NjWsErpDKqjwQdzjilvmqwWkXPj2ncglphh6mAhpoZ_QXQiDwxnwo-GjKEP0fEOb3uBlNlh9sc/s1600/tensorflow2objectdetection.png July 10, 2020 — Posted by Vivek Rathod and Jonathan Huang, Google Research At the
Face and hand tracking in the browser with MediaPipe and TensorFlow.js
Posted by Ann Yuan and Andrey Vakunov, Software Engineers at Google Today we’re excited to release two new packages: facemesh and handpose for tracking key landmarks on faces and hands respectively. This release has been a collaborative effort between the MediaPipe and TensorFlow.js teams within Google Research. Try the demos live in your browserThe facemesh package finds facial boundaries and lan
[Updated] BodyPix: Real-time Person Segmentation in the Browser with TensorFlow.js
https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjtIwhfU9hN31oZq-g0biojjwbrQsBHV-Kbw-vv_mwqR7cmT7kS7anbCDv4VwUsBA_QWIJfYSHrYDPekwUhP62N7QhXG8OoChmjXGtJ2xN44e5kNdBDSe_bPoO4_SL_0ntOw76HXI2t5yw/s1600/bodypix2-twitter.gif November 18, 2019 — Update(November 18th, 2019) BodyPix 2.0 has been released, with multi-person support and improved accuracy (based on ResNet50), a new API, weight quant
![[Updated] BodyPix: Real-time Person Segmentation in the Browser with TensorFlow.js](https://cdn-ak-scissors.b.st-hatena.com/image/square/9305fd394c806e39e6baf24c2c5b84a67a266f6b/height=288;version=1;width=512/https%3A%2F%2Fblogger.googleusercontent.com%2Fimg%2Fb%2FR29vZ2xl%2FAVvXsEjtIwhfU9hN31oZq-g0biojjwbrQsBHV-Kbw-vv_mwqR7cmT7kS7anbCDv4VwUsBA_QWIJfYSHrYDPekwUhP62N7QhXG8OoChmjXGtJ2xN44e5kNdBDSe_bPoO4_SL_0ntOw76HXI2t5yw%2Fw1200-h630-p-k-no-nu%2Fbodypix2-twitter.gif)
Fruit Identification using Arduino and TensorFlow Lite Micro
https://blog.tensorflow.org/2019/11/fruit-identification-using-arduino-and-tensorflow.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJUQcd1g9Wo2JHp2EMR_J5wKSFLQZmdMstW4fq43yJ9JYoI2CWpsnZbLBYqmZjQwXp2iceLHT5zxhIl6seTacpd7tE2XFv0r_nyYHB6w6GOwLHDk7eGyfK2jzC2dfAVttzkrNPEa6uRhI/s1600/fruity.gif November 07, 2019 — A guest post by Dominic Pajak and Sandeep Mistry of the Arduino team Ar
A Transformer Chatbot Tutorial with TensorFlow 2.0
https://blog.tensorflow.org/2019/05/transformer-chatbot-tutorial-with-tensorflow-2.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjubJSdXkMwulhxB3g5tOEJ8Iihc7BMxsdEtJicdRWon1GZi8mhkpN-gN8heS8ZyJT4R7JZ_mLm_gqorKAvETrAKq1P3Msn7x9M7gU2iPkl0BBKevmuiyjMJRu3u186jem5yXEdIJ5mC1I/s1600/transformer.png May 23, 2019 — A guest article by Bryan M. Li, FOR.ai The use of artificial neural networ
Effective TensorFlow 2.0: Best Practices and What’s Changed
https://blog.tensorflow.org/2019/02/effective-tensorflow-20-best-practices.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgnG6dJv4-THd3fvrEqLTs6Z75NLfpP9IBjnnNntRLz-VhvfOgbKl_ZBYWOhIzSQiKuIOIRKpBIhXQtsfFTmKu2a8tsvSIIRF6Cl-QkJJR3Rb2QKBFIPzOQgG-zToE7zU1Orn4o-cau7cM/s1600/1_b4otA55Us-hoI57lqUfplA.png February 13, 2019 — Posted by the TensorFlow Team In a recent article, we mentioned
TensorFlow Lite Now Faster with Mobile GPUs
https://blog.tensorflow.org/2019/01/tensorflow-lite-now-faster-with-mobile.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgA97JpZpO2Euak4jUDxUzFmnUa_yCV09uT611Rj4MQ0plGNPQB0pixnWrsvu3qeF-rZCRwDHuW2QSHEojYmmr4DmS6AIAjTGbz00ECDJR_thboAOvoXvgpFlNNnGbP-XSNQG-jeucY5Xs/s1600/0_Bz70Bl42gW3PFnCV.gif January 16, 2019 — Posted by the TensorFlow team Running inference on compute-heavy machin
Getting Started with TensorFlow.js
https://blog.tensorflow.org/2018/06/getting-started-with-tensorflowjs.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjuUv6hVLci1L1ZfvwIXDkZGetljXlYeUaVyDRyd5SxDf7HtGKrrpQY1Y4vrBWAK9lq9Ezmzw4Vk7v-dNeKyFCg6H_1Lqg43pGbNFHG5spM07j0ThWSPWGzkMdPg0P_KPsFO3-DHfKpR7I/s1600/tensorflowjs.png June 07, 2018 — Posted by Laurence Moroney With TensorFlow.js, you can not only run machine-learned m
Real-time Human Pose Estimation in the Browser with TensorFlow.js
https://blog.tensorflow.org/2018/05/real-time-human-pose-estimation-in.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhGNfQavEiYMs5I_9uJf03gy79HVgHd-dJUV-C7mgOMs6GF5Ll0s55CTORGS-PfiZ72Sc6WJQhbktAPc5Q8CuqTfRx1x4Fju779bSb_gE1F_2hjvnj61OcWDrvoRfInJsB18-SvxVtvTVY/s320/p1.gif May 07, 2018 — Posted by: Dan Oved, freelance creative technologist at Google Creative Lab, graduate student at
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Training and serving a realtime mobile object detector in 30 minutes with Cloud TPUs