DCGAN is initialized with random weights, so a random code plugged in the network would produce a totally random graphic. Even so, when you might imagine, the network has a lot of parameters that we can tweak, plus the goal is to find a location of these parameters that makes samples produced from random codes appear to be the coaching information.… Read More