Generative Deep Learning

Inspired by the official code repository, for examples in the O'Reilly book 'Generative Deep Learning'

++ Experiments & research in progress

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 2.1 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 The run folder stores output from the generative models The utils folder stores useful functions that are sourced by the main notebooks

Getting started

To get started, first install the required libraries inside a virtual environment:

conda create --name \<env> --file requirements.txt

Activate the environment and start the jupyter notebook for traversing the 'ipynb' files