DCGAN is initialized with random weights, so a random code plugged in to the network would crank out a very random image. Even so, as you might imagine, the network has an incredible number of parameters that we can easily tweak, and also the aim is to find a placing of these parameters that makes samples produced from random codes appear like the … Read More