EECE 6741 - Introduction to Neural Networks and Deep Learning

Credit Hours: (3) Former: 6741

Description Topics include machine learning approaches, learning algorithms; least-mean squares and gradient descent; supervised learning (perceptron, deep learning algorithms and its variants); unsupervised methods (Hebbian, self-organizing maps and autoencoders); computing platforms for neural networks; case studies. Standard Engineering Course Fees PREREQUISITE(S): COMP 2150 and MATH 3242, or permission of instructor. Cross listing (same as COMP 6741).