Introduction to Machine Learning with TensorFlow.js

Many exciting things are happening with machine learning, from which, until recently, JavaScript developers were largely shut out. However, things are changing, now if you can do "npm install @tensorflow/tfjs", you can do machine learning.

This absolute beginner book takes someone with no knowledge of Machine Learning and teaches them the basics.

The book will teach how to use the TensorFlow.JS library, a complete re-write of the popular TensorFlow package in JavaScript. If you want to get a taste of what this exciting field has to offer, if you want to talk to other AI specialists in a language they understand, then this book is for you.

You'll learn:

- What are Neural Networks, and how is it related to Machine Learning?
- What is TensorFlow.js, and how to use it?
- The essential mathematics.
- How to build and train a neural network to solve regression and classification tasks.
- How to use pre-trained models.
- How to use transfer learning to generate powerful machine learning models in the browser, without expensive computation on servers.

You will learn hands-on by creating 6 different applications, including a handwriting recogniser and a webcam-based hand-sign recogniser.

Taught by Asim Hussain, co-organiser of the AI JavaScript London Meetup and co-creator of https: //aijs.rocks and community member of the W3C Machine Learning Group.