Lecture
This lecture covers generative models, focusing on Boltzmann machines. The instructor explains the concept of autoencoders, the goal of sampling P(X), and the constrained maximization using Lagrange multipliers. The lecture also delves into the maximum entropy principle and Shannon entropy.