Lecture

Gradient Descent Method

Description

This lecture covers the Gradient Descent method, starting with the determination of a descent direction and the update rule. It explains smoothness in functions and the concept of b-smoothness. The lecture also discusses the intuition behind optimization steps and provides proofs related to convexity and convergence.

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