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