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DCGAN is initialized with random weights, so a random code plugged to the network would produce a totally random picture. Nevertheless, when you might imagine, the network has many parameters that we can tweak, plus the aim is to find a setting of these parameters that makes samples created from random codes seem like the teaching facts. It will