DCGAN is initialized with random weights, so a random code plugged in the network would produce a totally random graphic. Nonetheless, when you might imagine, the network has an incredible number of parameters that we can tweak, plus the objective is to locate a setting of those parameters which makes samples generated from random codes appear like
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