E-Book, Englisch, 296 Seiten
Sasaki Hands-On Machine Learning with TensorFlow.js
1. Auflage 2019
ISBN: 978-1-83882-787-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
A guide to building ML applications integrated with web technology using the TensorFlow.js library
E-Book, Englisch, 296 Seiten
ISBN: 978-1-83882-787-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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Table of Contents - Machine Learning for the Web
- Importing Pre-trained Models into TensorFlow.js
- TensorFlow.js Ecosystem
- Polynomial Regression
- Classification with Logistic Regression
- Unsupervised Learning
- Sequential Data Analysis
- Dimensionality Reduction
- Solving Markov decision problems
- Deploying Machine Learning Applications
- Tuning applications to achieve high performance
- Future Works around TensorFlow.js