Deep Generative Models - Lecture 2: Background
Offered By: Stanford University via YouTube
Course Description
Overview
Dive into the second lecture of Stanford University's CS236 course on Deep Generative Models, focusing on essential background knowledge. Explore fundamental concepts presented by Associate Professor Stefano Ermon in this 1 hour and 20 minute session. Gain insights into the foundations of deep generative models, preparing you for more advanced topics in the field of artificial intelligence. Follow along with the course materials on the official website and consider enrolling in the full online course for a comprehensive learning experience in this cutting-edge area of computer science.
Syllabus
Stanford CS236: Deep Generative Models I 2023 I Lecture 2 - Background
Taught by
Stanford Online
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent