Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
of gradients of cost function is all positive then the function is convex, if all negative then concave, and if mix of both, then the function is non-convex. convex vs non-convex function 2. For intuition purpose, hessian defines curvature of function, imagine there is a U-shaped curve, like y =