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Lecture 1 gives an introduction to the field of computer vision, discussing its history and key challenges. In lecture 11 we move beyond image classification, and show how convolutional networks can be applied to other core computer vision tasks. Lecture 3 | computer vision.
Lecture 24 | computer vision. Introduction to computer vision review of prerequisites classical model slides. Lecture 6 | image processing & computer vision.
Lecture 23 | computer vision. We emphasize that vision encompasses a w.