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DCGAN is initialized with random weights, so a random code plugged to the network would produce a very random picture. Nevertheless, when you might imagine, the network has numerous parameters that we can tweak, plus the purpose is to find a placing of these parameters which makes samples created from random codes seem like the training knowledge.W