A generative adversarial network is a class of machine learning frameworks invented by Ian Goodfellow and his colleagues in 2014. Two neural networks contesting with each other in a game. Given a training set, this technique learns to generate new data with the same statistics as the training set.
Explaining how to create images that doesn't exist by using GAN.
- Kanika Sharma