DCGAN is initialized with random weights, so a random code plugged to the network would generate a totally random graphic. Even so, as you might imagine, the network has millions of parameters that we will tweak, and the aim is to locate a setting of those parameters which makes samples produced from random codes appear to be the coaching knowledge

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