DCGAN is initialized with random weights, so a random code plugged to the network would crank out a completely random graphic. Nonetheless, when you might imagine, the network has millions of parameters that we could tweak, as well as the intention is to find a location of these parameters that makes samples created from random codes look like the … Read More