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DCGAN is initialized with random weights, so a random code plugged to the network would deliver a totally random picture. Nevertheless, as you might imagine, the network has a lot of parameters that we will tweak, plus the aim is to locate a setting of such parameters which makes samples produced from random codes appear like the schooling data.