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DCGAN is initialized with random weights, so a random code plugged into the network would produce a very random graphic. Nevertheless, when you may think, the network has many parameters that we can easily tweak, as well as target is to find a setting of such parameters that makes samples generated from random codes appear to be the teaching knowle