DCGAN is initialized with random weights, so a random code plugged into the network would deliver a very random picture. Nonetheless, as you might imagine, the network has millions of parameters that we can tweak, as well as target is to find a location of those parameters that makes samples created from random codes appear like the instruction dat… Read More