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Unit of study_

ELEC5307: Advanced Signal Processing with Deep Learning

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.

Code ELEC5307
Academic unit Electrical and Information Engineering
Credit points 6
Prerequisites:
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None
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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Mathematics (e.g., probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++)

At the completion of this unit, you should be able to:

  • LO1. use appropriate software platforms for a given multi-dimensional signal processing task
  • LO2. understand and apply the machine learning and deep learning methods for multi-dimensional signal processing applications
  • LO3. use the existing machine learning and deep learning toolboxes
  • LO4. report results in a professional manner
  • LO5. develop some basic teamwork and project management skills through a group project.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.