February 2020
Intermediate to advanced
560 pages
22h 18m
English
1. Motivation and basic concepts
2. A gentle introduction to TensorFlow.js
Chapter 2. Getting started: Simple linear regression in TensorFlow.js
Chapter 3. Adding nonlinearity: Beyond weighted sums
Chapter 4. Recognizing images and sounds using convnets
Chapter 5. Transfer learning: Reusing pretrained neural networks
3. Advanced deep learning with TensorFlow.js
Chapter 7. Visualizing data and models
Chapter 8. Underfitting, overfitting, and the universal workflow of machine learning
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