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DCGAN is initialized with random weights, so a random code plugged to the network would generate a very random impression. Nevertheless, while you may think, the network has numerous parameters that we can tweak, as well as the intention is to locate a setting of those parameters that makes samples produced from random codes look like the teaching

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