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DCGAN is initialized with random weights, so a random code plugged into your network would deliver a totally random picture. Nonetheless, as you might imagine, the network has millions of parameters that we can easily tweak, plus the purpose is to find a location of such parameters that makes samples generated from random codes appear to be the edu