Chapter
Self-Supervised Learning and Image Recognition Systems
48:00 - 52:10 (04:09)
This podcast episode discusses the development of image recognition systems and their ability to be trained through self-supervised or weakly supervised methods. It also explores the challenges of filtering malicious signal in self-supervised learning.
Clips
The speaker discusses how some animals rely on instinct while humans have a drive to learn and develop.
48:00 - 49:46 (01:45)
Animal Behavior
Summary
The speaker discusses how some animals rely on instinct while humans have a drive to learn and develop.
ChapterSelf-Supervised Learning and Image Recognition Systems
Episode#258 – Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning
PodcastLex Fridman Podcast
Learn about the challenges of filtering malicious signals in self-supervised learning, and how Facebook's Meta AI addressed this using only 17,000 tags corresponding to physical things or situations for image recognition systems.
49:46 - 52:10 (02:23)
Self-supervised Learning
Summary
Learn about the challenges of filtering malicious signals in self-supervised learning, and how Facebook's Meta AI addressed this using only 17,000 tags corresponding to physical things or situations for image recognition systems.