Generative Deep Learning
Teaching Machines to paint, write, compose and play
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.
Structure
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
Book Contents
- 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
Getting started
To get started, first install the required library inside a virtual environment:
pip install -r requirements.txt