Deep Learning Course, Computer Vision SectionProf. Thomas Brox
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, which will be jointly organized by the two machine learning groups, the robotics group, and the computer vision group, we want to teach students the practical knowledge that is needed to do research with deep learning in any of these fields. The course starts with some introductory lectures, continues with first some smaller and then larger projects. You must work in teams of 2-3 persons. There will be a final presentation of your project results at the end of the semester.
04.11 CNN intro + Original slides from Andrej Karpathy
Exercise material:Exercise 1 (due: 11.11)
Exercise 2 (due: 28.11) + Initial code + Data
Exercise 3 (due: 09.12) + Code
Exercise 4 (due: 23.12) + Code