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DCGAN is initialized with random weights, so a random code plugged to the network would generate a totally random graphic. Even so, when you might imagine, the network has a lot of parameters that we can tweak, along with the goal is to find a location of these parameters that makes samples produced from random codes appear like the coaching knowle