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Generative Adversarial Network designed to produce realistic human faces after being trained on a sample of 200,000+ images of celebrities
Jupyter Notebook Python
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README.md

Face-generating GAN

Generative Adversarial Network designed to produce realistic human faces after being trained on a sample of 200,000+ images of human faces

What is this repository for?

  • This repository is for the Jupyter notebook and supporting python files
  • The data files used for this project can be found either in my Bitbucket (as it was too much for my Github) or at the websites for the MNIST and CelebA datasets.
  • Version: stable

How do I get set up?

  • To set up, clone the repository or download a .zip file with the repository to your desired directory. Make sure that the directory contains a folder titled "data" to include the MNIST and CelebA folders in.
  • Configuration
  • The helper.py and unittests.py files are dependencies that should also be included in the directory
  • Unit tests are set up to automatically be run by the python notebook before the running of the Genrative Adversarial Network.
  • To start, run the Jupyter Notebook application in an environment (such as that created by Anaconda) for

Contribution guidelines

  • This repository can easily be forked and contributed to on Github. Feel free to send a pull request.

Future Steps

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