A JavaScript library for training and deploying ML models in
the browser and on Node.js

TensorFlow for JavaScript (Google I/O '18)

Published on May 9, 2018
TensorFlow has been extended to simplify model training and deployment using the JavaScript language. This session will offer a detailed description of how to use JavaScript to train and deploy your models.

Machine Learning in JavaScript (TensorFlow Dev Summit 2018)

Published on May 9, 2018
Nikhil Thorat and Daniel Smilkov discuss TensorFlow.js, which is TensorFlow’s new machine learning framework for JavaScript developers. It supports building ML models in JavaScript, and training and deploying them in browser for execution using WebGL. They focus on tensorflow.js-Core which is a rebranding of deeplearn.js, and a new high-level layers API to make it easier to develop ML models in JavaScript. Initial set of converters for converting saved TF models into JS is also being released.

Keynote (TensorFlow Dev Summit 2018)

Published on Mar 30, 2018
Join the TensorFlow team as they kick off the 2018 TensorFlow Dev Summit! The TensorFlow Dev Summit brings together a diverse mix of machine learning users from around the world for a full day of highly technical talks, demos, and conversations with the TensorFlow team and community. Keynote Speakers: Anitha Vijayakumar, Megan Kacholia, Jeff Dean, and Rajat Monga

TensorFlow.js Quick Start

Published on Apr 3, 2018
Get started with TensorFlow.js by building a digit recognizer from scratch in this quick start tutorial