discriminator is aiming to maximize the log probability of assigning 0 to the fake samples when we look for an equilibrium point to a game it's different than minimizing a function we're actually looking for a saddle point of J superscript D and if we're able to successfully find this saddle point the whole procedure resembles minimizing the Jensens Shannon divergence between the data and the distribution represented by the model so as our first exercise which will be accompanied by a little five-minute break we're going to study