DCGAN is initialized with random weights, so a random code plugged into the network would make a completely random picture. Nonetheless, when you might imagine, the network has many parameters that we will tweak, and the aim is to locate a setting of those parameters which makes samples created from random codes appear to be the instruction facts.8