https://github.com/ayushexel/gans

Implementation of GANs research paper.
https://github.com/ayushexel/gans

deep-learning gan machine-learning neural-network neural-networks paper

Last synced: 3 months ago
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Implementation of GANs research paper.

• Host: GitHub
• URL: https://github.com/ayushexel/gans
• Owner: AyushExel
• Created: 2019-01-26T17:35:01.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-01-26T17:52:01.000Z (over 6 years ago)
• Last Synced: 2025-05-07T14:52:04.257Z (5 months ago)
• Topics: deep-learning, gan, machine-learning, neural-network, neural-networks, paper
• Language: Python
• Size: 801 KB
• Stars: 10
• Watchers: 2
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# GANs

Implementation of GANs research paper.

"Generative adversarial networks are a class of artificial intelligence algorithms used in unsupervised machine learning, implemented by a system of two neural networks contesting with each other in a zero-sum game framework. They were introduced by Ian Goodfellow et al. in 2014"

This implementation tries to produce fake MNIST dataset using GANs.

# Running

`Python gan.py`

# Result

![](https://github.com/AyushExel/GANs/blob/master/output/18400.png)