L53: Perceptron update rule explained | mistakes, convergence & linear separability
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YouTubeIIT Madras - B.S. Degree Programme
L53: Perceptron update rule explained | mistakes, convergence & linear separability
Welcome to Lecture 51 of the course "Machine Learning Techniques" by Prof. Arun Rajkumar. Full Course: https://study.iitm.ac.in/ds/course_pages/BSCS2007.html Video Overview This lecture takes a closer look at the update rule of the perceptron algorithm and the types of mistakes it can make. We analyze why the perceptron’s update rule is ...
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