First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners and enthusiasts who have no prior knowledge of computer vision.
When to Use Machine Learning? | Neural Networks
Теги
Machine learningdeep learningfirst principlescomputer visionartificial intelligenceNewton’s equationmotiontrainingnetwork architecturesShree NayarFirst principlesFPCVcomputational imagingcomputational photographyColumbia Vision LaboratoryCAVE LaboratoryComputer ScienceColumbia EngineeringSchool of Engineering and Applied SciencesColumbia University
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