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DCGAN is initialized with random weights, so a random code plugged to the network would crank out a very random graphic. Nonetheless, while you might imagine, the network has many parameters that we can easily tweak, and also the aim is to find a environment of those parameters that makes samples generated from random codes seem like the instructio