DCGAN is initialized with random weights, so a random code plugged to the network would make a totally random graphic. However, as you might imagine, the network has countless parameters that we are able to tweak, and also the goal is to locate a placing of those parameters that makes samples created from random codes appear like the teaching knowl… Read More