Google is offering an open source, hardware-accelerated library for machine learning that runs in a browser. The library is currently supported only in the desktop version of Google Chrome, but the project is working to support more devices. 

The Deeplearn.js library enables training of neural networks within a browser, requiring no software installation or back end. “A client-side ML library can be a platform for interactive explanations, for rapid prototyping and visualization, and even for offline computation,” Google researchers said. “And if nothing else, the browser is one of the world’s most popular programming platforms.”

Using the WebGL JavaScript API for 2D and 3D graphics, Deeplearn.js  can conduct computations on the GPU. This offers significant performance, thus getting past the speed limits of JavaScript, the researchers said.

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