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DCGAN is initialized with random weights, so a random code plugged in the network would crank out a very random impression. Nonetheless, while you might imagine, the network has an incredible number of parameters that we will tweak, and the goal is to locate a location of such parameters that makes samples generated from random codes appear to be t