Overview
This course offered to the students interested in learning the basics, types and applications of Pattern Recognition and Neural Networks in the space of Medical Electronics
Course Outcomes
CO1: Understand the basics of Pattern Recognition and basics of Probability
CO2:Understand the different types of Supervised Learning
CO3: Understand the different types of Unsupervised Learning
CO4: Understand the basic Concepts of Neural Networks and Single as well as Multilayer Perceptron
CO5: Formulate an experiment from the preceding COs, perform an open ended experiment and present the same with suitable documentation in groups.
Course content
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Content of this course is available by invitation only. You can not access this course if you don't have an invitation from the course instructor.
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