Perceptron | Neural Networks
First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering an...
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About this video
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.
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Jun 10, 2021
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#Perceptron #weights #m biases #activation #activation function #step function #heaviside function #linear classifier #NAND gate #universal logic gate #digital logic #computational universality #1-bit adder #perceptron network #Shree Nayar #First principles #computer vision #computational imaging #computational photography #Columbia Vision Laboratory #CAVE Laboratory #Computer Science #Columbia Engineering #School of Engineering and Applied Sciences #Columbia University
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