DCGAN is initialized with random weights, so a random code plugged to the network would generate a totally random graphic. Nonetheless, when you may think, the network has a lot of parameters that we are able to tweak, plus the goal is to find a placing of such parameters that makes samples produced from random codes appear to be the coaching knowl