A deeper look into deep learning – perspectives from statistics and information theoryUniv.-Prof. Dr. Michael Wand
Course No.: 08.079.630
Additional informationThe seminar itself will be held during the lecture break after the winter term. The introductory lecture will be held during the winter semester lecture time. Concrete times will be decided in the prepatory meeting:
Important: Please make sure to attend the prepatory meeting
Tuesday, Oktober 23 2018, 16:15-17:00h in Room 03-424 (Staudingerweg 9)
If you cannot attend this first meeting, please send an email to the lecturer (Michael.Wand (at) uni-m...)
Requirements / organisational issuesBasic knowledge in machine learning or computer vision is very useful.
The seminar will be accompanied by a short introductiory lecture to information theory, statistical tools, optimization and basic deep learning techniques (roughly 1/2 of a semester) so that the seminar can in principle be attended without prior attendence of any advanced courses.
ContentsWill will discuss papers that aim at explaining why deep learning works at all (something we do not really understand at this point). This will also include interdisziplinary approaches, for example from statistical physics.
Semester: WiSe 2018/19