DCGAN is initialized with random weights, so a random code plugged to the network would deliver a totally random graphic. Nonetheless, when you might imagine, the network has a lot of parameters that we are able to tweak, plus the goal is to find a location of these parameters that makes samples created from random codes look like the education dat