DCGAN is initialized with random weights, so a random code plugged to the network would crank out a very random graphic. Nevertheless, while you might imagine, the network has a lot of parameters that we can easily tweak, as well as goal is to find a setting of these parameters that makes samples created from random codes look like the training dat