Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the foundations of generative models in this 33-minute video lecture on Boltzmann Machines. Delve into the core concepts of these early generative models, including their goal of learning probability distributions of data through stochastic rules and latent representations. Examine the Boltzmann Distribution, stochastic update rules, and the Contrastive Hebbian Rule. Investigate the role of hidden units and the development of Restricted Boltzmann Machines. Gain insights into the historical significance and practical applications of these models in machine learning and artificial intelligence.