A simple Generative Adversarial Network (GAN) [1] designed for a simple dataset such as the MNIST Dataset [2].
Both the generator and the descriminator networks for this GAN implementation feature a simple two-layer fully connected neural network (Multi-layer perceptron "MLP").
- Pytorch - The Machine Learning framework used
- Imad Eddine Toubal - Initial work - imadtoubal
This project is licensed under the MIT License - see the LICENSE file for details.
[1] Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ... & Bengio, Y. (2014). Generative adversarial networks. arXiv preprint arXiv:1406.2661.
[2] Deng, Li. "The mnist database of handwritten digit images for machine learning research [best of the web]." IEEE Signal Processing Magazine 29.6 (2012): 141-142.