DCGAN is initialized with random weights, so a random code plugged in to the network would crank out a very random impression. Nevertheless, as you may think, the network has millions of parameters that we are able to tweak, and the purpose is to locate a placing of such parameters which makes samples generated from random codes appear like the ins