CSE 275. Deep Learning for 3-D Data (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/CSE.html#cse275
Description
This course teaches state-of-the-art concepts and algorithms of geometry that are being used in computer graphics, computer vision, and machine learning. It covers topics such as geometry foundations (differentiable geometry), 3-D reconstruction, structured 3-D learning, geometry processing, and geometry collection analysis. Recommended preparation: previous course work on deep learning and machine learning courses is highly recommended. Prerequisites: graduate standing. Restricted to students within the CS75, CS76, CS78, CS88, and CS89 majors. All other students will be allowed as space permits.
Prerequisite courses
CSE 275 has no prerequisite courses.
Successor courses
No courses have CSE 275 as a prerequisite.