DCGAN is initialized with random weights, so a random code plugged into the network would produce a completely random image. Nonetheless, as you might imagine, the network has many parameters that we can easily tweak, and the goal is to locate a setting of these parameters which makes samples created from random codes appear like the teaching knowl