November 13, 2015 by Anders Boesen Lindbo Larsen and Søren Kaae Sønderby In this blog post we’ll implement a generative image model that converts random noise into images of faces! Code available on Github. For this task, we employ a Generative Adversarial Network (GAN) [1]. A GAN consists of two components; a generator which converts random noise into images and a discriminator which tries to dis