Deep Learning for 3-D Data

4 credits

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.