Machine Learning, Neural Networks, Optimization, Mathematics.
I’ve been interested in the fundamentals of numerical optimization ever since dropping in Stephen Boyd’s “Convex Optimization” class in Stanford years ago. Theory developed in this field can be used to answer questions faced by today’s practitioners, in particular, the question of — “Why does it