COMP 4741 - Intro to Neural Networks and Deep Learning

Credit Hours: (3)

Description: The course aims to explore neural network models and deep learning algorithms enabled by increased computational power and larger data sets. Case studies will be described in various applications to practical problems in various domains such as data analysis, forecasting, decision making and, more recently, modeling complex phenomena. Students will get hands on experience on software platforms to solve a significant problem in a term project of their choice. Prerequisite(s): COMP 2150 and MATH 3242, or permission of instructor. Prerequisite(s) or Corequisite(s): COMP 2150 and MATH 3242, or permission of instructor. Cross-listing(s) EECE 4741, EECE 6741