DCGAN is initialized with random weights, so a random code plugged in to the network would make a completely random graphic. Nonetheless, when you may think, the network has a lot of parameters that we are able to tweak, and the target is to find a placing of such parameters that makes samples generated from random codes appear to be the instruct