Generative adversarial networks (GANs) 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 in 2014.
The branch plain_pytorch_implementation contains the PyTorch implementation of the same.
Results :
- Before start of training :
- After one iteration :
- After two iterations :
- After some hundred thousands iterations :
Generator's Loss : 
Discriminator's Loss : 