TensorFire is a framework for running neural networks in the browser, accelerated by WebGL.
Applications powered by TensorFire can utilize deep learning in almost any modern web browser with no setup or installation.
It works on any GPU, whether or not it supports CUDA. That means on computers with AMD graphics, like the latest 2016 Retina Macbook Pro, running networks in the browser with TensorFire can be faster than running it natively with TensorFlow.
deeplearn.js is an open-source library that brings performant machine learning building blocks to the web, allowing you to train neural networks in a browser or run pre-trained models in inference mode.
deeplearn.js was originally developed by the Google Brain PAIR team to build powerful interactive machine learning tools for the browser. You can use the library for everything from education, to model understanding, to art projects.