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.
Backpropagation Algorithm | Neural Networks
Теги
Network trainingchain rulederivativesgradientscostactivationsigmoidderivative of sigmoidbackpropagationalgorithmcomputational complexityShree NayarFirst principlescomputer visioncomputational imagingcomputational photographyColumbia Vision LaboratoryCAVE LaboratoryComputer ScienceColumbia EngineeringSchool of Engineering and Applied SciencesColumbia University
