Figure 11. Illustration of deep convolutional GAN architecture.

(left): A generator network tries to generate fake images using random noisy vector. (right): A discriminator network takes the generated images from generator network as well as real images from the same distribution and classifies them as real or fake until being not able to discriminate both sources. Image credit; upper: Beatrice Gemmi, lower: Mike B.