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Neural Networks

Course Code COMP-258
Lecture hours per week 2
Lab hours per week 2
Course Availability: Open

This course covers artificial neural networks and their practical applications in data science. Coursework emphasizes fundamental models and algorithms starting with Perceptron model, Multi-Layer Perceptron (MLP) networks, forward and backpropagation algorithms, and activation functions. Students will gain hands-on experience by building multilayer models and using artificial neural networks for various classification/prediction problems.