DCGAN is initialized with random weights, so a random code plugged in the network would generate a totally random picture. However, as you may think, the network has countless parameters that we can tweak, and the purpose is to find a placing of these parameters which makes samples created from random codes seem like the coaching knowledge.Corporat

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