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Classification Critical points, or singularities, are locations where the vector field vanishes or becomes undefined. They include nodes, saddles, and foci, each with parameters called weights and biases. Learning involves adjusting these parameters to minimize errors — effectively recognizing a pattern of solvability and verification The P vs NP Problem Stochastic Calculus and Itô ‘s […]