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DCGAN is initialized with random weights, so a random code plugged to the network would generate a totally random graphic. Nonetheless, when you may think, the network has millions of parameters that we could tweak, plus the purpose is to find a setting of such parameters that makes samples generated from random codes appear to be the teaching know