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teaching:ws2019:intellisys_ws2019 [2019/07/05 15:13] Qadeer Khan |
teaching:ws2019:intellisys_ws2019 [2019/07/10 18:31] Qadeer Khan |
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**Organizers**: | **Organizers**: | ||
- | [[members: | + | [[members: |
+ | == Correspondence == | ||
+ | Please forward any queries related to the lab to: [[intellisys-ws19@vision.in.tum.de]] | ||
- | Assignment to the lab will be done via the matching system (http:// | + | == Course Registration == |
+ | Assignment to the lab will be done via the [[http:// | ||
- | The preliminary meeting (recommended) to take place on **Wednesday, | + | The preliminary meeting |
- | Slides pertaining | + | |
+ | == Course Content == | ||
+ | Learning-based approaches have recently made tremendous progress in the computer vision and robotics research community. In this practical | ||
+ | course, we will solve challenging real-world problems in the area of | ||
+ | self-driving cars and intelligent systems. Topics will be in the | ||
+ | direction of perception, control, and environmental understanding. This | ||
+ | may also involve working on massive datasets including unstructured or | ||
+ | unordered data.\\ | ||
+ | |||
+ | == Pre-requisites == | ||
+ | |||
+ | * Good knowledge of the Python language and basic mathematics such as linear algebra, analysis, and numerics is required. | ||
+ | * Good knowledge of a deep learning framework such as PyTorch, TensorFlow, etc. | ||
+ | * Participation in at least one of the offered deep learning lectures at TUM is required. | ||
+ | |||
+ | == Structure == | ||
+ | Students will work in groups of 2 persons on research oriented projects from the beginning of the semester. Assignment of projects | ||
+ | |||
+ | == Schedule == | ||
+ | Time: Tuesdays 2-4pm\\ | ||
+ | Room: [[https:// |