DCGAN is initialized with random weights, so a random code plugged to the network would generate a totally random graphic. Even so, as you might imagine, the network has a lot of parameters that we are able to tweak, plus the objective is to find a placing of such parameters that makes samples produced from random codes appear like the training inf… Read More