Master Lab Course - Machine Learning Implementation Challenge (IN2106, IN4155)
Course 0000002229 in SS 2018
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll) |
| Lecturers |
Patrick van der Smagt |
| Dates |
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 | Master Lab Course - Machine Learning Implementation Challenge (IN2106, IN4155) A key challenge in machine learning is reproducing recent research to build and extend on it. At the core of this course, you will work on a pusblished paper from a recent top-tier machine learning conference. Your task is to implement the proposed algorithm and to reproduce the results with limited time and computation budget. Then, you explore a creative idea based on your findings. |
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| Links |
Course documents TUMonline entry |