Generative Models
Offered By: Serrano.Academy via YouTube
Course Description
Overview
Explore the fascinating world of generative models in this comprehensive 90-minute lecture. Delve into the intricacies of Denoising and Variational Autoencoders, gain a friendly introduction to Generative Adversarial Networks (GANs), and uncover the principles behind Restricted Boltzmann Machines (RBM). Learn how these powerful algorithms can create new data, images, and even art, revolutionizing various fields from computer vision to creative industries.
Syllabus
Denoising and Variational Autoencoders.
A Friendly Introduction to Generative Adversarial Networks (GANs).
Restricted Boltzmann Machines (RBM) - A friendly introduction.
Taught by
Serrano.Academy
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent