Practical Course: Deep Learning for 3D Perception (IN2106, IN4319)
Course 0000000788 in SS 2022
General Data
Course Type | practical training |
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Semester Weekly Hours | 6 SWS |
Organisational Unit | Informatics 15 - Chair of Computer Graphics and Visualization (Prof. Westermann) |
Lecturers |
Angela Dai Assia Franzmann Susanne Weitz |
Dates |
Wed, 12:00–14:00, MI 02.13.010 |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
additional remarks | |
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Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
Semester | Title | Lecturers | Dates |
---|---|---|---|
SS 2024 | Practical Course: Deep Learning for 3D Perception (IN2106, IN4319) | Benedi San Millan, M. Dai, A. Gümeli, C. Rozenberszki, D. Weitz, S. |
Fri, 14:00–16:00, MI 02.13.010 |
WS 2023/4 | Practical Course: Deep Learning for 3D Perception (IN2106, IN4319) | Dai, A. Weitz, S. |
Mon, 16:00–18:00, MI 02.13.010 |
SS 2023 | Practical Course: Deep Learning for 3D Perception (IN2106, IN4319) | Dai, A. Diller, C. Franzmann, A. Gümeli, C. Tang, J. … (total 6) |
Wed, 12:00–14:00, MI 02.13.010 |
WS 2022/3 | Practical Course: Deep Learning for 3D Perception (IN2106, IN4319) | Dai, A. Franzmann, A. Weitz, S. |
Mon, 16:00–18:00, MI 02.13.010 |