DCGAN is initialized with random weights, so a random code plugged in the network would produce a totally random picture. Nevertheless, when you might imagine, the network has a lot of parameters that we are able to tweak, plus the goal is to find a placing of such parameters which makes samples generated from random codes seem like the teaching da