INTRODUCTION TO DEEP LEARNING

Catalog description

This course provides a broad introduction to Deep Learning. Topics include but are not limited to perceptrons, feed-forward networks, convolutional neural networks and transformers. Particular focus will be on the theoretical understanding of these methods, as well as their practical applications. PREREQ: C OR BETTER IN COMPSCI 332 COREQ: PRIOR COMPLETION OR CONCURRENT ENROLLMENT IN MATH 355