DCGAN is initialized with random weights, so a random code plugged in the network would produce a very random image. Even so, as you might imagine, the network has a lot of parameters that we are able to tweak, plus the goal is to find a location of these parameters that makes samples produced from random codes look like the instruction facts.As th