CSC 4851 - Introduction to Deep Learning

4 Credit Hours
Prerequisites: CSC 2720 (or DSCI 2720) and MATH 2641 with a C or higher. Students must meet the Computer Science Major Eligibility Requirement in order to enroll in this course.
Description
This course introduces the basic concepts and algorithms of deep neural networks and its applications to computer vision and natural language processing. Depending on the course progress, selected topics such as unsupervised learning and model compression will be covered. The class emphasizes the understanding of the state-of-the-art DL architectures as well as practical implementations of deep neural networks with Python.