Introduction
The gradient tells you which way is downhill; it doesn't tell you how the slope itself changes — whether you're in a narrow valley, on a flat plateau, or at a saddle. That information is in second derivatives, collected in the Hessian matrix. Curvature explains why some loss surfaces are hard to optimize and is the basis of Newton's method.