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DCGAN is initialized with random weights, so a random code plugged to the network would deliver a totally random graphic. Even so, as you might imagine, the network has millions of parameters that we can tweak, as well as purpose is to find a placing of those parameters that makes samples created from random codes appear to be the teaching informat