Intro to Deep Learning and Generative Models Course - L1.3.4 Broad Categories of ML Part 4: Special Cases of Supervised Learning

Sebastian's books: https://sebastianraschka.com/books/ Beyond the three traditional categories of machine learning (supervised learning, unsupervised learning, and reinforcement learning), there are semi-supervised and self-supervised learning, which can be seen as special cases of supervised learning. This video explains how semi-supervised learning can be used to incorporate unlabeled data into the learning process. Self-supervised learning is about learning from auxiliary labels that are different from the target label. Slides: https://sebastianraschka.com/pdf/lecture-notes/stat453ss21/L01-intro_slides.pdf ------- This video is part of my Introduction of Deep Learning course. Next video: https://youtu.be/nd9dhrvtIA0 The complete playlist: https://www.youtube.com/playlist?list=PLTKMiZHVd_2KJtIXOW0zFhFfBaJJilH51 A handy overview page with links to the materials: https://sebastianraschka.com/blog/2021/dl-course.html ------- If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka