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DCGAN is initialized with random weights, so a random code plugged to the network would produce a completely random graphic. Nevertheless, while you might imagine, the network has a lot of parameters that we can tweak, along with the aim is to find a setting of these parameters that makes samples generated from random codes look like the teaching d