DCGAN is initialized with random weights, so a random code plugged in to the network would produce a very random picture. Nonetheless, as you may think, the network has a lot of parameters that we can tweak, and the target is to locate a setting of those parameters that makes samples created from random codes appear like the instruction knowledge.P