/TensorFlow

Accelerating TensorFlow Performance On Mac

- Fred Alcober tl;dr: "TensorFlow users on Intel Macs or Macs powered by Apple’s new M1 chip can now take advantage of accelerated training using Apple’s Mac-optimized version of TensorFlow 2.4 and the new ML Compute framework."

featured in #217


Bringing The Mona Lisa Effect To Life With TensorFlow.js

- Emily Xie tl;dr: Emily uses TensorFlow.js, deep learning, and image processing techniques to animate the Mona Lisa.

featured in #209


Face Detection Using JavaScript API - face-api.js

- Deepak Gupta tl;dr: Built on TensorFlow, this solves face detection, face recognition and face landmark detection, optimized for web and mobile devices.

featured in #157


Introducing TensorFlow Datasets

tl;dr: Public datasets needed for machine learning have been released, formatted to be TensorFlow ready. Large datasets often come with their own formats, complexities and edge cases that require time-sucking developer time.

featured in #132