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DCGAN is initialized with random weights, so a random code plugged in to the network would make a very random graphic. Nonetheless, while you might imagine, the network has many parameters that we can tweak, as well as the purpose is to locate a placing of those parameters which makes samples produced from random codes appear like the teaching deta