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DCGAN is initialized with random weights, so a random code plugged to the network would deliver a very random graphic. Even so, as you might imagine, the network has millions of parameters that we will tweak, and the aim is to locate a location of these parameters that makes samples produced from random codes appear to be the coaching knowledge.Sup