Google’s TensorFlow open source machine learning library has been extended to JavaScript with Tensorflow.js, a JavaScript library for deploying machine learning models in the browser.

TensorFlow is the most popular machine learning platform and the Node version, TensorFlow.js, makes it easy to use in a JavaScript application.

Google on Wednesday also announced TensorFlow.js version 1.0, which offers significant improvements for the Javascript community. For instance, MobileNet v1 is 9X faster in browser for inference ...

Typically, you’ll write TensorFlow code in very comprehensible Python (what the exam is in) or JavaScript (tensorflow.js) and it’ll trigger a series of underlying functions written in C which ...

Includes TensorFlow.js version 1.0, which allows the use of off-the-shelf JavaScript models, can retrain existing JS models and enables the building and training of models directly in JavaScript.

Peterson’s team has been using TensorFlow JS (the initials stand for JavaScript) to build browser apps around that functionality.

TensorFlow also stated that the process for deploying models developed using JAX with TensorFlow Serving and to mobile and the web with TensorFlow Lite and TensorFlow.js will be made easier.

Also making their debut today: The alpha release of TensorFlow 2.0 for a simplified user experience; TensorFlow.js 1.0; and the version 0.2 release of TensorFlow for developers who write code in ...