Hands-On Machine Learning with TensorFlow.js: A guide to building ML applications integrated with web technology using the TensorFlow.js library

Table of Contents

1. Machine Learning for the Web
2. Importing Pre-trained Models into TensorFlow.js
3. TensorFlow.js Ecosystem
4. Polynomial Regression
5. Classification with Logistic Regression
6. Unsupervised Learning
7. Sequential Data Analysis
8. Dimensionality Reduction
9. Solving Markov decision problems
10. Deploying Machine Learning Applications
11. Tuning applications to achieve high performance
12. Future Works around TensorFlow.js