Content Understanding at Facebook - F8 2018
Offered By: Meta via YouTube
Course Description
Overview
Explore how Facebook builds platforms to democratize content understanding, powering hundreds of use cases and enriching experiences for billions of people in this 48-minute conference talk from F8 2018. Dive into the agenda covering results, capacity, quality, and computational efficiency. Learn about scaling up media and video understanding, model efficiency, and the importance of sequential models. Discover key building blocks like Resnicks 3D, shot boundary detection, and Lumos. Gain insights into Facebook's approach to content understanding and its impact on user experiences.
Syllabus
Introduction
Agenda
Results
Capacity
Quality
Computational Efficiency
Scaling Up
Media Understanding
Video Understanding
Model Efficiency
Why Sequential Models
Resnicks 3D
Shot Boundary
Building Blocks
Lumos
Conclusion
Taught by
Meta Developers
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera Introduction to Computer Vision
Georgia Institute of Technology via Udacity