Chapter
Self-Supervised Learning is the Future of Machine Learning Algorithms
12:40 - 20:06 (07:26)
The acceptance of the fact that self-supervised learning is likely to play an important role in future machine learning algorithms is growing. This powerful way to learn common sense about the world can overcome difficulties in labeling and can offer insights for a range of situations.
Clips
AI models can predict what will happen in the future of a video by learning the structure of the world and objects within it, based on the previous frames within the video.
12:40 - 14:15 (01:35)
Summary
AI models can predict what will happen in the future of a video by learning the structure of the world and objects within it, based on the previous frames within the video.
ChapterSelf-Supervised Learning is the Future of Machine Learning Algorithms
Episode#206 – Ishan Misra: Self-Supervised Deep Learning in Computer Vision
PodcastLex Fridman Podcast
By taking different crops of an image, a computer network can be trained to recognize features of the entire image, rather than just a specific section.
14:15 - 15:44 (01:29)
Summary
By taking different crops of an image, a computer network can be trained to recognize features of the entire image, rather than just a specific section. This technique improves image recognition for vision in computer programming.
ChapterSelf-Supervised Learning is the Future of Machine Learning Algorithms
Episode#206 – Ishan Misra: Self-Supervised Deep Learning in Computer Vision
PodcastLex Fridman Podcast
The importance of self-supervised learning in machine learning algorithms is becoming increasingly accepted due to its ability to learn common sense about the world and tackle difficult labeling tasks.
15:44 - 17:52 (02:07)
Summary
The importance of self-supervised learning in machine learning algorithms is becoming increasingly accepted due to its ability to learn common sense about the world and tackle difficult labeling tasks. The current iteration is only the first step towards what it could accomplish in the future.
ChapterSelf-Supervised Learning is the Future of Machine Learning Algorithms
Episode#206 – Ishan Misra: Self-Supervised Deep Learning in Computer Vision
PodcastLex Fridman Podcast
The ability to specify the end goal and the information in between allows for algorithms or machines to solve a particular task.
17:52 - 20:06 (02:14)
Summary
The ability to specify the end goal and the information in between allows for algorithms or machines to solve a particular task. Observations of data can help infer things about the world, such as what is heavy or not, what can pour or not, and what is a suitable surface to sit on.