Prerequisites : None
Course Description : This course provides a broad overview to neural networks and its
design approaches.
Course Outcome : After the completion of the course the student will be able to
CO1 Mathematically model a neuron Understand
CO2 Model a linear regressor/classifier using a perceptron model Apply
CO3 Solve non-linear problems using multi-layer neural network Apply
CO4 Implement better training algorithms for neural network Analyse
CO5 Model RBFN networks to solve non-linear problems with kernel functions Understand
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- Teacher: Mithun Haridas T. P.