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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| Hlavný autor: | |
|---|---|
| Médium: | E-kniha |
| Jazyk: | English |
| Vydavateľské údaje: |
Berkeley, CA
Apress, an imprint of Springer Nature
2021
Apress |
| Vydanie: | 1st Edition |
| Predmet: | |
| ISBN: | 9781484264171, 1484264177, 9781484264188, 1484264185 |
| On-line prístup: | Získať plný text |
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Obsah:
- 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

