Using Generative Adversarial Networks (GAN) to produce new images. 

 

GAN is a class of machine learning systems. Two neural networks contest with each other in a game (in the sense of game theory, often but not always in the form of a zero-sum game). Given a training set, this technique learns to generate new data with the same statistics as the training set. 

© 2015 by Maria Esteban Casañas