https://github.com/mrgemy95/gan-tensorflow

This's a re-implementation of generative adversarial networks using tensorflow.
https://github.com/mrgemy95/gan-tensorflow

deep-learning generative-adversarial-network python tensorflow

Last synced: about 1 month ago
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This's a re-implementation of generative adversarial networks using tensorflow.

• Host: GitHub
• URL: https://github.com/mrgemy95/gan-tensorflow
• Owner: MrGemy95
• License: mit
• Created: 2017-10-06T23:11:32.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-10-07T01:09:11.000Z (over 7 years ago)
• Last Synced: 2025-02-26T05:41:31.742Z (about 2 months ago)
• Topics: deep-learning, generative-adversarial-network, python, tensorflow
• Language: Python
• Homepage:
• Size: 49.8 KB
• Stars: 8
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Generative adversarial networks 

This's a reimplementation of [generative adversarial networks](https://arxiv.org/abs/1406.2661) using tensorflow.

## Usage

- download fashion-mnist in "data" folder

- run ``` python gan.py ```

### Training monitoring 

Discriminator loss            |  Generator loss

:-------------------------:|:-------------------------:

![](imgs/loss1.png?raw=true)  |  ![](imgs/loss2.png?raw=true  )

### Model Output samples

This's the network output during the training.

![](imgs/1.png?raw=true)  ![](imgs/3.png?raw=true  ) ![](imgs/2.png?raw=true  ) ![](imgs/4.png?raw=true  )

### References

- https://www.oreilly.com/learning/generative-adversarial-networks-for-beginners

- used the same arcitecture and hyperparameters of [tensorflow-generative-model-collections](https://github.com/hwalsuklee/tensorflow-generative-model-collections )