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DCGAN is initialized with random weights, so a random code plugged to the network would deliver a totally random picture. Nevertheless, when you might imagine, the network has many parameters that we will tweak, and also the target is to find a placing of such parameters that makes samples produced from random codes appear to be the instruction det