The official code repository for examples in the O'Reilly book 'Generative Deep Learning' This repository will be constantly updated as new chapters are relased.
This repository is structured as follows:
The notebooks for each chapter are in the root of the repository, prefixed with the chapter number.
The data folder is where to download relevant data sources (chapter 3 onwards)
The run folder stores output from the generative models (chapter 3 onwards)
The utils folder stores useful functions that are sourced by the main notebooks
- Chapter 1: Generative Modelling
- Chapter 2: Deep Learning
- Chapter 3: Variational Autoencoders
- Chapter 4: Generative Adversarial Networks
- Chapter 5: Paint
- Chapter 6: Write
- Chapter 7: Compose
- Chapter 8: Play
- Chapter 9: Conclusion
To get started, first install the required library inside a virtual environment:
pip install -r requirements.txt