PREREQUISITES: Minimum grade of C- in CMSC330 and CMSC351; and 1 course with a minimum grade of C- from (MATH240, MATH341, MATH461, ENEE290); and 1 course with a minimum grade of C- in STAT400; or permission of instructor; and permission of CMNS-Computer Science Department.

Introduces concepts, formulations, and applications of deep generative models for images, video, geometry, and text, including large language models. Covers scenarios mainly in computer vision and related areas such as robotics, biology, and language.