Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental coding ideas.

Neural networks and machine learning, a field of computer science that heavily relies on them to give computers the ability to learn without being explicitly programmed, seem to be everywhere these days. Scientists want to use advanced neural networks to find energy materials, the Wall Street would like to train neural networks to manage hedge funds and pick stocks, and Google has been relying on neural networks to deliver highly accurate translations and transcriptions. At the same time, powerful, consumer-grade hardware for machine learning is getting more affordable. For example, Nvidia has recently introduced its Titan V graphics card, which is targeted specifically at machine learning developers, who would like to create neural networks without paying for a special server to handle all the complex math operations involved in machine learning. With the future of machine learning looking so bright and the necessary computational resources being so available, many JavaScript developers wonder what's the easiest way how to create neural networks in JavaScript. If you count yourself among them, this article is for you.