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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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berkeley, CA
Apress, an imprint of Springer Nature
2021
Apress |
| Ausgabe: | 1st Edition |
| Schlagworte: | |
| ISBN: | 9781484264171, 1484264177, 9781484264188, 1484264185 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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. |
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| ISBN: | 9781484264171 1484264177 9781484264188 1484264185 |
| DOI: | 10.1007/978-1-4842-6418-8 |