Lecture

Generative Models: Boltzmann Machine

Description

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.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.