L1.3.4 Broad Categories of ML Part 4: Special Cases of Supervised Learning

Sebastian's 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.

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This video is part of my Introduction of Deep Learning course.

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A handy overview page with links to the materials

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