In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computational models of understanding.
À propos de ce cours
Université du Colorado à Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
- 5 stars56,14 %
- 4 stars31,57 %
- 3 stars10,52 %
- 1 star1,75 %
Meilleurs avis pour COMPUTATIONAL VISION
Very nice course but needs to include more instructiveness with lots of examples.
Good understanding of mechanism of computer vision through deep learning
À propos du Spécialisation Mind and Machine
This specialization examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of “minds” – both biological and computational – has been revolutionized over the past half-century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This specialization focuses on both the larger “historical” arc of these changes as well as current research directions and controversies.
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