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DCGAN is initialized with random weights, so a random code plugged in the network would deliver a completely random graphic. On the other hand, when you might imagine, the network has many parameters that we will tweak, and the purpose is to locate a placing of those parameters that makes samples created from random codes appear to be the coachin