DCGAN is initialized with random weights, so a random code plugged in the network would generate a totally random graphic. Nevertheless, while you may think, the network has millions of parameters that we will tweak, plus the objective is to find a placing of such parameters that makes samples generated from random codes appear like the teaching da… Read More