DCGAN is initialized with random weights, so a random code plugged in to the network would deliver a totally random graphic. Nonetheless, while you might imagine, the network has a lot of parameters that we can tweak, plus the objective is to locate a location of these parameters which makes samples generated from random codes seem like the teachin… Read More