Laboratory: Deep Learning Lab
Prof. Abhinav Valada, Prof. Thomas Brox, Prof. Frank Hutter, Prof. Joschka Boedecker, Dr. Tim Welschehold
Co-Organizers:
Adrian Röfer, Rohit Mohan, María A. Bravo, Yassine Marrakchi, Arbër Zela, Rhea Sukthanker, Iman Nematollahi, Baohe Zhang, Dennis Raith
If you have a question, please post it in the ILIAS forum (so everyone can benefit from the answer). Alternatively, you can also email dl-lab@cs.uni-freiburg.de
Welcome to the Deep Learning Lab a joint teaching effort of the Robotics (R)9, Robot Learning (RL)10, Neurorobotics (NR)11, Computer Vision (CV)11, and Machine Learning (ML)12 Labs. Deep learning has brought a revolution to AI research. A good understanding of the principles of deep networks and experience in training them has become one of the main assets for successful research and development of new technology in machine learning, computer vision, and robotics. In this course, we will teach students the practical knowledge that is needed to do research with deep learning, imitation learning, and reinforcement learning. This course consists of a mixture of lectures, exercises and group projects. The course is divided into five tracks that focus on different aspects of deep learning research. Please register for only one of the tracks mentioned below:
Track 1: Robotics (11LE13P-7302)
Track 2: Robot Learning (11LE13P-7321)
Track 3: Neurorobotics (11LE13P-7320)
Track 4: Computer Vision (11LE13P-7305)
Track 5: Automated Machine Learning (11LE13P-7312)
Please fill in this form with your information if you enroll in this course.
| Lecture/Exercises: | Tuesday, 10.00 c.t. -12.00 (Beginning Apr 26, 2022) Room: Building 051, SR 00-034 and online via Zoom. See ILIAS for Zoom meeting password. |
| Requirements: | Fundamental programming skills in Python. Basic knowledge of deep learning, equivalent with having passed the Fundamentals of Deep Learning course. Some experience with the Linux toolchain (text editor, compiler, linker, debugger) is recommended. |
| Lectures, Assignments & Forum: | ILIAS course |
| Remarks: | Due to the Covid-19 crisis, the Deep Learning Lab will be offered in a hybrid format. Those in Freiburg can attend the lab in-person and those who are out of town can attend via Zoom. Video lectures and exercises will be uploaded to ILIAS on the day of the lecture. Please watch the lecture and start working on the exercises. You may post questions on the lecture by inserting comments in the video page or post questions about the exercises in the forum. We will then have a Q&A; session in the week following the lecture where all the questions will be discussed. |
Phase II: Project |
Sponsor
Support for this course was generously provided by the Google Cloud Platform Education Grant.
