P^2+Σ2P

Machine learning is well known as self driving cars and P=NP . This treats huge numbers, so you need to reject infinity. You want practical machines. You may call it efficiency. This is restricted because V and H are related but V1 and Vn are separated. H1 and Hm are also not connected. E is the whole energy. ai and bj are bias because of uncertainty. Moreover, Wij=Wji is symmetry. This is the mathematical beauty . As you know, image recognition is visibility. Therefore, you need only i. P is possibility, and T is temperature . You need to cool your machine.

This is expansion . Lagrange(L) is [kinetic energy - potential energy]. This is Newtonian Equation of motion. The space move, but it is still zero.