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

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 skill...

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Bibliographic Details
Main Author: Gerard, Charlie
Format: eBook
Language:English
Published: Berkeley, CA Apress, an imprint of Springer Nature 2021
Apress
Edition:1st Edition
Subjects:
Artificial Intelligence
Computer Science
JavaScript (Computer program language)
Mobile & Web Applications
Professional and Applied Computing
Software Engineering
Web site development
ISBN:9781484264171, 1484264177, 9781484264188, 1484264185
Online Access:Get full text
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Description
Summary: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. This book will help you stay relevant in the tech industry with new tools, trends, and best practices.
ISBN:9781484264171
1484264177
9781484264188
1484264185
DOI:10.1007/978-1-4842-6418-8