DCGAN is initialized with random weights, so a random code plugged in the network would make a totally random image. Nevertheless, when you might imagine, the network has an incredible number of parameters that we can tweak, as well as purpose is to find a placing of such parameters that makes samples produced from random codes seem like the educat