Deep Learning with JavaScript

Preface

The most significant event in the recent history of technology is perhaps the explosion in the power of neural networks since 2012. This was when the growth in labeled datasets, increases in computation power, and innovations in algorithms came together and reached a critical mass. Since then, deep neural networks have made previously unachievable tasks achievable and boosted the accuracies in other tasks, pushing them beyond academic research and into practical applications in domains such as speech recognition, image labeling, generative models, and recommendation systems, just to name a few.

It was against this backdrop that our team at Google Brain started developing TensorFlow.js. When the project started, many regarded “deep learning ...