davidADSP/GDL_code
The official code repository for examples in the O’Reilly book ‘Generative Deep Learning’
| repo name | davidADSP/GDL_code |
| repo link | https://github.com/davidADSP/GDL_code |
| homepage | |
| language | Jupyter Notebook |
| size (curr.) | 22614 kB |
| stars (curr.) | 603 |
| created | 2019-02-22 |
| license | GNU General Public License v3.0 |
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’
https://learning.oreilly.com/library/view/generative-deep-learning/9781492041931/
https://www.amazon.com/Generative-Deep-Learning-Teaching-Machines/dp/1492041947/ref=sr_1_1
Tensorflow
This branch uses standalone Keras with a Tensorflow 1.14 backend. See the tensorflow_2 branch for the Keras within Tensorflow 2.0 version of the codebase.
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
Part 1: Introduction to Generative Deep Learning
- Chapter 1: Generative Modeling
- Chapter 2: Deep Learning
- Chapter 3: Variational Autoencoders
- Chapter 4: Generative Adversarial Networks
Part 2: Teaching Machines to Paint, Write, Compose and Play
- Chapter 5: Paint
- Chapter 6: Write
- Chapter 7: Compose
- Chapter 8: Play
- Chapter 9: The Future of Generative Modeling
- Chapter 10: Conclusion
Getting started
To get started, first install the required libraries inside a virtual environment:
pip install -r requirements.txt
