Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
teaching:ws2019:intellisys_ws2019 [2019/07/05 15:12] Qadeer Khan |
teaching:ws2019:intellisys_ws2019 [2019/07/21 14:26] Yuesong Shen |
||
---|---|---|---|
Line 3: | Line 3: | ||
**Organizers**: | **Organizers**: | ||
- | [[members: | + | [[members: |
- | The preliminary meeting (recommended) | + | == Correspondence == |
+ | Please forward any queries related | ||
- | Slides pertaining | + | == Course Registration == |
+ | **Important: | ||
+ | |||
+ | Assignment | ||
+ | |||
+ | The preliminary meeting < | ||
+ | |||
+ | |||
+ | == 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 to groups will be done in the first week. There will be biweekly presentations to share results/ | ||
+ | |||
+ | == Schedule == | ||
+ | Time: Tuesdays 2-4pm\\ | ||
+ | Room: [[https:// |