Deep Learning with TensorFlow and Keras – 3rd edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models

Table of Contents

1. Neural Networks Foundations with TF
2. Regression and Classification
3. Convolutional Neural Networks
4. Word Embeddings
5. Recurrent Neural Network
6. Transformers
7. Unsupervised Learning
8. Autoencoders
9. Generative Models
10. Self-Supervised Learning
11. Reinforcement Learning
12. Probabilistic TensorFlow
13. An Introduction to AutoML
14. The Math Behind Deep Learning
15. Tensor Processing Unit
16. Other Useful Deep Learning Libraries
17. Graph Neural Networks
18. Machine Learning Best Practices
19. TensorFlow 2 Ecosystem
20. Advanced Convolutional Neural Networks