Table of Contents

Machine Learning with TensorFlow.js

Section 1: JavaScript for Machine Learning

Chapter 1: Machine Learning on the Web

Chapter 2: Machine Learning Concepts

Chapter 3: Setting up a TensorFlow.js Development Environment

Chapter 4: TensorFlow.js Primer

Section 2: Developing Neural Network Solutions

Chapter 5: Train a Neural Network from Scratch with TensorFlow.js

Chapter 6: End-to-End ML Solutions using TensorFlow.js

Section 3: Deep Learning using TensorFlow.js

Chapter 7: Understanding Deep Neural Networks

Chapter 8: Convolutional (CNN) and Recurrent Neural Networks (RNN)

Chapter 9: Deep Reinforcement Learning and Generative Adversarial Networks (GAN)

Chapter 10: TensorFlow.js Solutions

Section 4: Summary and Closing

Chapter 11: Deployment to Production

Chapter 12: Development for the TensorFlow.js Library

Chapter 13: Summary