DCGAN is initialized with random weights, so a random code plugged to the network would generate a totally random graphic. Even so, when you might imagine, the network has many parameters that we are able to tweak, plus the purpose is to locate a placing of such parameters which makes samples generated from random codes appear like the training kno
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