DSCI 4851 - Deep Learning

4 Credit Hours
Prerequisites: DSCI 4850 with a C or above. Students must meet the Data Science major eligibility requirement to be able to register for the class.
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.