14897 - Facial Expression Recognition with Deep Learning Modulübersicht
| Module Number: | 14897 |
| Module Title: | Facial Expression Recognition with Deep Learning |
| Gesichtsausdruckserkennung mit Deep Learning | |
| Department: | Faculty 1 - Mathematics, Computer Science, Physics, Electrical Engineering and Information Technology |
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| Language of Teaching / Examination: | English |
| Duration: | 1 semester |
| Frequency of Offer: | On special announcement |
| Credits: | 4 |
| Learning Outcome: | 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. |
| 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. |
| Recommended Prerequisites: | None |
| Mandatory Prerequisites: | None |
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| Teaching Materials and Literature: | Literature references for individual retrieval will be provided at the beginning of the semester. |
| Module Examination: | Continuous Assessment (MCA) |
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| Evaluation of Module Examination: | Study Performance – ungraded |
| Limited Number of Participants: | 20 |
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