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DCGAN is initialized with random weights, so a random code plugged in to the network would crank out a completely random impression. Nevertheless, when you might imagine, the network has a lot of parameters that we are able to tweak, plus the objective is to find a placing of such parameters that makes samples produced from random codes appear to b