Hands-On Machine Learning with TensorFlow.js

Hands-On Machine Learning with TensorFlow.js is your gateway to building machine learning applications directly within your web browser. With a focus on practical examples, this book will guide you through building, training, and deploying machine learning models using TensorFlow.js. By the end, you'll have the skills to create interactive, performance-optimized web-based ML applications.

What this Book will help me do

• Learn to use TensorFlow.js to build and deploy machine learning models in a web environment.
• Gain practical skills by creating smart web applications using step-by-step examples.
• Understand core machine learning concepts such as regression, clustering, and reinforcement learning with browser compatibility.
• Explore techniques for efficient deployment and model conversion using tools like tfjs-converter.
• Master optimization and performance improvements using TensorFlow.js backend frameworks.

Author(s)

None Sasaki is a seasoned developer and an experienced author in machine learning and web development fields. With a deep understanding of applying TensorFlow.js for real-world problems, None provides practical guidance in building machine learning applications that work seamlessly on the web. None's accessible writing style ensures the concepts are clear to learners of various levels.

Who is it for?

This book is ideal for web developers eager to integrate machine learning into web-based applications using TensorFlow.js, as well as data scientists and ML practitioners looking to explore ML capabilities in the browser. Beginners with basic knowledge of JavaScript will find the book approachable and instructional in mastering new ML techniques.