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DCGAN is initialized with random weights, so a random code plugged in to the network would produce a very random graphic. On the other hand, while you might imagine, the network has many parameters that we will tweak, and the purpose is to locate a environment of such parameters that makes samples produced from random codes appear to be the instruc