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DCGAN is initialized with random weights, so a random code plugged in to the network would deliver a totally random graphic. Nonetheless, when you might imagine, the network has a lot of parameters that we are able to tweak, plus the objective is to locate a location of such parameters that makes samples created from random codes look like the educ