Advanced Deep Learning for Robotics (IN2349)
Course 0000003810 in SS 2022
General Data
| Course Type | lecture with integrated exercises |
|---|---|
| Semester Weekly Hours | 4 SWS |
| Organisational Unit | Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll) |
| Lecturers |
Berthold Bäuml Responsible/Coordination: Darius Burschka |
| Dates |
Thu, 12:00–14:00, MI HS2 |
Assignment to Modules
-
IN2349: Weiterführendes Deep Learning für die Robotik / Advanced Deep Learning for Robotics
This module is included in the following catalogs:- Focus Area Bio-Sensors in M.Sc. Biomedical Engineering and Medical Physics
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 | |
|---|---|
| Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| SS 2023 | Advanced Deep Learning for Robotics (IN2349) |
Bäuml, B.
Responsible/Coordination: Burschka, D. |
Thu, 12:00–14:00, MI HS2 |
| WS 2022/3 | Advanced Deep Learning for Robotics (IN2349) | Bäuml, B. | |
| WS 2021/2 | Advanced Deep Learning for Robotics (IN2349) | Bäuml, B. |
Thu, 12:00–15:30, virtuell Thu, 12:00–15:30, virtuell |
| SS 2021 | Advanced Deep Learning for Robotics (IN2349) | Bäuml, B. Burschka, D. | |
| WS 2020/1 | Advanced Deep Learning for Robotics (IN2349) | Bäuml, B. | |
| SS 2020 | Advanced Deep Learning for Robotics (IN2349) | Bäuml, B. | |
| SS 2019 | Advanced Deep Learning for Robotics (IN2349) | Bäuml, B. Burschka, D. | |
| SS 2018 | Advanced Deep Learning for Robotics (IN2349) |
Bäuml, B.
Responsible/Coordination: Burschka, D. |
|
| SS 2017 | Deep Learning in Robotics (IN2349) |
Bäuml, B.
Responsible/Coordination: Burschka, D. |