Excelsior Correspondent KATRA, Oct 10: School of Mathematics, SMVDU, Katra, organized a guest lecture on "The Descent of Learning: Gradient-Based Optimization from Cauchy to Contemporary Data Science" ...

The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult computational problem. Many aspects of modern applied research ...

Gradient descent is an optimization algorithm that refines a machine learning model's parameters to create a more accurate model. The goal is to reduce a model's ...