What's a Generative Adversarial Network? A Google Researcher Explains NVIDIA Blog

If you haven't yet heard of generative adversarial networks, don't worry, you will. The hottest topic in deep learning, GANs, as they're called, have the potential to create systems that learn more with less help from humans. Just ask Ian Goodfellow, who hatched the idea for GANs in 2014 when he was still a Ph.D. student at the University of Montreal. Now a research scientist at Google, Goodfellow explained the workings and whys of GANs to a rapt crowd at the GPU Technology Conference last week. GANs remove one of the biggest obstacles to advancing AI, and particularly deep learning: the huge amount of human effort required.