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DCGAN is initialized with random weights, so a random code plugged to the network would deliver a very random impression. However, as you may think, the network has many parameters that we could tweak, and the goal is to find a placing of those parameters that makes samples produced from random codes seem like the coaching details.Sora builds on pa