convexity

Input-Convex Neural Networks: Learning Shapes That Have No Bad Local Minima Lesson

An input-convex neural network is built so its output is a convex function of its input, which means it has one valley, a usable gradient and clean guarantees; Apple used one to learn the best-match score of a cluster of vectors.