[MINI] Generative Adversarial Networks

GANs are an unsupervised learning method involving two neural networks iteratively competing. The discriminator is a typical learning system. It attempts to develop the ability to recognize members of a certain class, such as all photos which have birds in them.

Guest

Ian Goodfellow: Ian J. Goodfellow (born 1987[1]) is an American computer scientist, engineer, and executive, most noted for his work on artificial neural networks and deep learning. He was a research scientist at Google DeepMind,[2] was previously employed as a research scientist at Google Brain, and director of machine learning at Apple, as well as one of the first employees at OpenAI. He has made several important contributions to the field of deep learning, including the invention of the generative adversarial network (GAN). Goodfellow co-wrote, as the first author, the textbook Deep Learning (2016)[3] and wrote the chapter on deep learning in the authoritative textbook of the field of artificial intelligence, Artificial Intelligence: A Modern Approach[4][5] (used in more than 1,500 universities in 135 countries).[6]