DCGAN is initialized with random weights, so a random code plugged in the network would deliver a very random image. Nonetheless, when you might imagine, the network has numerous parameters that we are able to tweak, as well as the goal is to find a location of those parameters that makes samples generated from random codes appear to be the trainin… Read More