Practical Course - Analysis of new phenomena in machine/deep learning (IN2106, IN4317)
Course 0000000825 in SS 2022
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 7 - Chair of Theoretical Computer Science (Prof. Esparza) |
| Lecturers |
Pascal Esser Debarghya Ghoshdastidar Satyaki Mukherjee Mahalakshmi Sabanayagam |
| Dates |
Tue, 10:00–12:00, MI 03.09.014 Tue, 14:00–16:00, MI 03.09.014 Fri, 12:00–14:00, MI 03.09.014 |
Assignment to Modules
-
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 | |
|---|---|
| Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| SS 2024 | Practical Course - Analysis of new phenomena in machine/deep learning (IN0012, IN2106, IN4317) | Esser, P. Ghoshdastidar, D. Sabanayagam, M. | |
| SS 2023 | Practical Course - Analysis of new phenomena in machine/deep learning (IN2106, IN4317) | Esser, P. Ghoshdastidar, D. Mukherjee, S. Sabanayagam, M. |
singular or moved dates |