Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers

✍ Scribed by Charlie Gerard

Publisher: Apress
Year: 2021
Tongue: English
Leaves: 334
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications.

You’ll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your knowledge as a web developer, you’ll add a whole new field of development to your tool set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically.

Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js—an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in JavaScript will help you stay relevant in the tech industry with new tools, trends, and best practices.

What You'll Learn

Use the JavaScript framework for ML
Build machine learning applications for the web
Develop dynamic and intelligent web content

Who This Book Is For

Web developers and who want a hands-on introduction to machine learning in JavaScript. A working knowledge of the JavaScript language is recommended.

✦ Table of Contents

Front Matter ....Pages i-xvi
The basics of machine learning (Charlie Gerard)....Pages 1-24
TensorFlow.js (Charlie Gerard)....Pages 25-43
Building an image classifier (Charlie Gerard)....Pages 45-66
Text classification and sentiment analysis (Charlie Gerard)....Pages 67-134
Experimenting with inputs (Charlie Gerard)....Pages 135-286
Machine learning in production (Charlie Gerard)....Pages 287-303
Bias in machine learning (Charlie Gerard)....Pages 305-316
Back Matter ....Pages 317-323

✦ Subjects

Computer Science

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