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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 numerous parameters that we can tweak, as well as purpose is to locate a placing of those parameters that makes samples generated from random codes look like the schooling