DCGAN is initialized with random weights, so a random code plugged into the network would produce a completely random graphic. Nevertheless, as you may think, the network has millions of parameters that we will tweak, plus the purpose is to find a placing of such parameters which makes samples generated from random codes appear like the teaching de