may make sense to use algorithms that try to follow the Fisher-Rao geodesic between the initial condition and the desired conclusion. This is what Amari IA ma851 IA NO011 calls "natural gradient" based learning, a conceptually powerful approach which subtly accounts for dependencies between the components of 0. 23.13