GAN (Generative Adversarial Network) is a new and promising form of artificial neural networks.
This innovative deep learning approach has recently sparked off a lot of academic research papers.
GAN applications are becoming more and more numerous.
From generating new photo-realistic images and videos, to 3D object creation, clothes translation, style transfer, animating photos, etc.
In this session Denys will highlight the examples of applying GANs to different business domains.