produces a score think of this score as an energy that you're going to try to make large for bad samples and low for good samples okay good for you know low for examples you observe and bad for samples you don't observe and the question is how do you generate bad samples whose energy going to push up and the idea of gann is that you train a neural net which from a bunch of random numbers is going to produce a bad samples whose energy you're gonna push up that's your generator ok so you get and in fact a paper on this called