DCGAN is initialized with random weights, so a random code plugged to the network would deliver a totally random graphic. Nonetheless, when you might imagine, the network has a lot of parameters that we can tweak, along with the goal is to find a placing of these parameters that makes samples produced from random codes appear to be the coaching fac