# GDL_code

**Repository Path**: thisyoung/GDL_code

## Basic Information

- **Project Name**: GDL_code
- **Description**: The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-04-14
- **Last Updated**: 2021-04-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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

## 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`