An introduction to neural networks and deep learning. Theory and application of Neural Networks to problems in machine learning. Various network architectures will be discussed. Methods for improving optimization and generalization of neural networks. Neural networks for unsupervised learning. Includes: Experiential Learning Activity Precludes additional credit for COMP 5206. Prerequisite(s): (COMP 3105 or SYSC 4415) and (MATH 1104 or MATH 1107). Lectures three hours a week.
An introduction to neural networks and deep learning. Theory and application of Neural Networks to problems in machine learning. Various network architectures will be discussed. Methods for improving optimization and generalization of neural networks. Neural networks for unsupervised learning. Includes: Experiential Learning Activity Precludes additional credit for COMP 5206. Prerequisite(s): (COMP 3105 or SYSC 4415) and (MATH 1104 or MATH 1107). Lectures three hours a week.
