Thomas Hofmann: Courses in Autumn Semester 2023 |
Name | Prof. Dr. Thomas Hofmann |
Field | Data Analytics |
Address | Dep. Informatik ETH Zürich, CAB F 48.1 Universitätstrasse 6 8092 Zürich SWITZERLAND |
thomas.hofmann@inf.ethz.ch | |
URL | http://www.inf.ethz.ch/department/faculty-profs/person-detail.html?persid=148752 |
Department | Computer Science |
Relationship | Full Professor |
Number | Title | ECTS | Hours | Lecturers | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|
252-0945-17L | Doctoral Seminar Machine Learning (HS23) Only for Computer Science Ph.D. students. This doctoral seminar is intended for PhD students affiliated with the Institute for Machine Learning. Other PhD students who work on machine learning projects or related topics need approval by at least one of the organizers to register for the seminar. | 2 credits | 1S | ||||||||
252-0945-00 S | Doctoral Seminar Machine Learning | 1 hrs |
| N. He, V. Boeva, J. M. Buhmann, R. Cotterell, T. Hofmann, A. Krause, G. Rätsch, M. Sachan, J. Vogt, F. Yang | |||||||
263-3210-00L | Deep Learning | 8 credits | 3V + 2U + 2A | ||||||||
263-3210-00 V | Deep Learning | 3 hrs |
| T. Hofmann, N. Perraudin | |||||||
263-3210-00 U | Deep Learning | 2 hrs |
| T. Hofmann, N. Perraudin | |||||||
263-3210-00 A | Deep Learning | 2 hrs | T. Hofmann, N. Perraudin |