These are the notebooks for the second edition of the book, originally published in 2021. These notebooks use tf.keras with TensorFlow 2.16.
- Chapter 2: The mathematical building blocks of neural networks
- Chapter 3: Introduction to Keras and TensorFlow
- Chapter 4: Getting started with neural networks: classification and regression
- Chapter 5: Fundamentals of machine learning
- Chapter 7: Working with Keras: a deep dive
- Chapter 8: Introduction to deep learning for computer vision
- Chapter 9: Advanced deep learning for computer vision
- Chapter 10: Deep learning for timeseries
- Chapter 11: Deep learning for text
- Chapter 12: Generative deep learning
- Chapter 13: Best practices for the real world
- Chapter 14: Conclusions