DCGAN is initialized with random weights, so a random code plugged in the network would make a totally random image. Nevertheless, as you might imagine, the network has many parameters that we are able to tweak, as well as objective is to locate a placing of these parameters that makes samples generated from random codes appear to be the teaching k