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DCGAN is initialized with random weights, so a random code plugged in the network would deliver a completely random picture. Nevertheless, as you may think, the network has many parameters that we can easily tweak, plus the purpose is to find a setting of such parameters that makes samples generated from random codes appear like the training detail