DCGAN is initialized with random weights, so a random code plugged in the network would crank out a totally random graphic. Nonetheless, as you may think, the network has millions of parameters that we are able to tweak, plus the goal is to locate a setting of these parameters which makes samples produced from random codes look like the coaching da… Read More