DCGAN is initialized with random weights, so a random code plugged into your network would produce a totally random graphic. Nonetheless, while you may think, the network has millions of parameters that we will tweak, plus the goal is to find a location of these parameters that makes samples produced from random codes seem like the teaching data.Pr