Skip to content

AYLIEN/gan-intro

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

An introduction to Generative Adversarial Networks

This is the code that we used to generate our GAN 1D Gaussian approximation. For more information see our blog post: http://blog.aylien.com/introduction-generative-adversarial-networks-code-tensorflow.

Installing dependencies

Written for Python 3.x (tested on 3.6.1).

For the Python dependencies, first install the requirements file:

$ pip install -r requirements.txt

If you want to also generate the animations, you need to also make sure that ffmpeg is installed and on your path.

Training

For a full list of parameters, run:

$ python gan.py --help

To run without minibatch discrimination (and plot the resulting distributions):

$ python gan.py

To run with minibatch discrimination (and plot the resulting distributions):

$ python gan.py --minibatch

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages