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DCGAN is initialized with random weights, so a random code plugged to the network would create a totally random graphic. Nonetheless, when you might imagine, the network has an incredible number of parameters that we can tweak, along with the goal is to find a placing of such parameters that makes samples generated from random codes seem like the t