• It works in the opposite direction of the image classifier (CNN). • CNN transforms an image to a class label (list of probabilities). • DCGAN generates an image from random parameters. (0.01, 0.05, 0.91, 0.02, ...) deer dog cat human ... (0.01, 0.05, 0.91, 0.02, ...) CNN DCGAN Probabilities of each entry. What do these numbers mean? Random parameters