An undergraduate Carnegie Mellon course introducing computer vision fundamentals, covering image formation, filtering, features, geometry, and recognition basics before deep learning methods.

Commenters point to it as the starting place for learning computer vision, especially for building basic vision terminology before moving to deep learning.

What commenters said (1)

1. Recommendsbpg_922023in “Ask HN: Best Resources for Learning Computer Vision and Self-Driving Vehicles”

   Start with this course: https://www.cs.cmu.edu/~16385/ Then you can check udacity and coursera courses for DL. Try not to go directly into DL but first understand basic computer vision terms.

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