This unit of study introduces deep learning for a broad range of multi-dimensional signal processing applications. It covers deep learning technologies for image super-resolution and restoration, image categorization, object localization, image segmentation, face recognition, person detection and re-identification, human pose estimation, action recognition, object tracking as well as image and video captioning.
Through semester assessment (40%), Final Exam (60%)
Mathematics (e.g., probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++)