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DCGAN is initialized with random weights, so a random code plugged in the network would create a very random graphic. Nonetheless, while you may think, the network has numerous parameters that we can easily tweak, and also the objective is to locate a location of these parameters which makes samples produced from random codes appear like the traini

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