DCGAN is initialized with random weights, so a random code plugged in the network would deliver a completely random picture. On the other hand, as you might imagine, the network has a lot of parameters that we can tweak, and also the purpose is to locate a location of these parameters that makes samples generated from random codes seem like the tea