Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
non-convex. Homework for you, this connects why there are more risk of encountering saddle points while training our models as compared to local minima. 3. We know what convex and non-convex functions are, so what if we add two convex functions? what do we get? The answer is two convex functions