Lectures related to Generalization in Deep Learning

Covers limits and derivatives in multivariable functions, focusing on continuity, partial derivatives, and the gradient.

Covers the use of cylindrical coordinates and Fubini's theorem to calculate volumes of revolution bodies.

Covers the convergence of sequences in multivariable analysis, including definitions, properties, and examples in higher dimensions.

Covers the details of the Shor algorithm circuit and its complexity.

Series covers spherical coordinates, harmonics, Legendre polynomials, and angular momentum.