Facial Expression Recognition with Deep Learning
Gesichtsausdruckserkennung mit Deep Learning
4 CPirregularlyEN
Contents
State of the art in a using deep learning methods to automatically find faces in an image or video and then process and recognize any facial expressions that may be there.
Learning outcomes
After successfully completing the module, students will have acquired the skills needed to use computer science literature in order to familiarize themselves with a new, complex topic of deep learning methods to automatically find faces. They will be able to present the results, in oral as well as in written form.
Assessment
• Seminar presentation, 30-45 minutes (40 %) • Written report of the seminar presentation, 10-15 pages (40 %) • Active participation in courses (20 %)
Literature (1)
- Literature references for individual retrieval will be provided at the beginning of the semester.
Remarks
• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Seminars or Laboratories” • Study programme Informatik M.Sc.: Compulsory elective module in complex "Seminare oder Praktika" (level 400)
Source: BTU's module description · retrieved 29 Sep 2026Original