DCGAN is initialized with random weights, so a random code plugged in the network would create a completely random graphic. Having said that, while you might imagine, the network has millions of parameters that we can easily tweak, plus the target is to find a setting of such parameters which makes samples generated from random codes appear to be t… Read More