have to train this thing to do the to copy all distributions which is hard okay so we're not going to use a deterministic function so here is the the crux of energy based models and it's very connected to things like factor graphs that the people were talking about in the context of graphical models and Bayesian networks and stuff like that so basically you have an input and observation you have an observed or hypothesis for prediction and you have an energy function here that measures the compatibility between the two if the