GENERATIVE ADVERSARIAL NETWORKS

Speaker: Nejla Ghaboosi (IR) Seminar Date: Tuesday August 29 12:00pm Brief abstract: A substantial fraction of unsupervised learning research is driven by generative modelling. Generative Adversarial Networks (GANs) are a recently introduced class of generative models. This presentation tries to address: (1) why GANs are worth of studying, (2) how GANs compare to other generative models, (3) the details