The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Last update: Dec 29, 2022

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Deep Learning GDL_code

Overview

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

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Related tags

Overview

Generative Deep Learning

Teaching Machines to paint, write, compose and play

Tensorflow

Structure

Book Contents

Getting started

Owner

David Foster

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