Feature learning is a set of techniques used in machine learning to automatically discover representations from raw data for feature detection or classification. It replaces manual feature engineering and allows machines to learn the features and use them to perform a specific task. Feature learning can be supervised, unsupervised, or self-supervised.
Stanford University
Winter 2023
This course introduces concepts and applications in computer vision, focusing on geometry and 3D understanding. It covers topics like filtering, edge detection, segmentation, clustering, shape reconstruction from stereo, and high-level visual topics. Knowledge of linear algebra, basic probability, and statistics is required.
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