250074 VO Deep Learning (2021S)
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: English
Examination dates
- Tuesday 06.07.2021 09:45 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 07.10.2021 13:45 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 02.02.2022 11:30 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 24.08.2023
Lecturers
Classes (iCal) - next class is marked with N
the lecture will start on march 16, 2021
- Tuesday 02.03. 13:00 - 14:30 Digital
- Thursday 04.03. 13:00 - 13:45 Digital
- Tuesday 09.03. 13:00 - 14:30 Digital
- Thursday 11.03. 13:00 - 13:45 Digital
- Tuesday 16.03. 13:00 - 14:30 Digital
- Thursday 18.03. 13:00 - 13:45 Digital
- Tuesday 23.03. 13:00 - 14:30 Digital
- Thursday 25.03. 13:00 - 13:45 Digital
- Tuesday 13.04. 13:00 - 14:30 Digital
- Thursday 15.04. 13:00 - 13:45 Digital
- Tuesday 20.04. 13:00 - 14:30 Digital
- Thursday 22.04. 13:00 - 13:45 Digital
- Tuesday 27.04. 13:00 - 14:30 Digital
- Thursday 29.04. 13:00 - 13:45 Digital
- Tuesday 04.05. 13:00 - 14:30 Digital
- Thursday 06.05. 13:00 - 13:45 Digital
- Tuesday 11.05. 13:00 - 14:30 Digital
- Tuesday 18.05. 13:00 - 14:30 Digital
- Thursday 20.05. 13:00 - 13:45 Digital
- Thursday 27.05. 13:00 - 13:45 Digital
- Tuesday 01.06. 13:00 - 14:30 Digital
- Tuesday 08.06. 13:00 - 14:30 Digital
- Thursday 10.06. 13:00 - 13:45 Digital
- Tuesday 15.06. 13:00 - 14:30 Digital
- Thursday 17.06. 13:00 - 13:45 Digital
- Tuesday 22.06. 13:00 - 14:30 Digital
- Thursday 24.06. 13:00 - 13:45 Digital
- Tuesday 29.06. 13:00 - 14:30 Digital
Information
Aims, contents and method of the course
Deep Learning has established itself as a state of the art method in several areas including image recognition, personalized advertising, speech recognition. In this course we will given an introduction to the foundations of such methods.
Assessment and permitted materials
Minimum requirements and assessment criteria
Examination topics
Reading list
Association in the course directory
MAMV;
Last modified: Fr 08.09.2023 00:21