functions I learn are different how are they different and why does amoeba net whatever generalize better [Applause] nothing GD is just easier to analyze most of the results hold for a skewed yeah that was for single oh no that's a matrix this one's a matrix this one's a matrix you minimize there's two results one is you minimize cross-entropy with explicit weight DK you get the quasi norm second one is you minimize cross-entropy with TD no there's no optimization these are statements about global minimum okay