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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Table of Contents:
  • Title Page Introduction Table of Contents 1. The Basics of Machine Learning 2. TensorFlow.js 3. Building an Image Classifier 4. Text Classification and Sentiment Analysis 5. Experimenting with Inputs 6. Machine Learning in Production 7. Bias in Machine Learning Index