Lecture "Introduction to Neural Networks"
| Lecturer | Prof. Dr. Andreas Zell |
| Dates/Time | Thu. 10:15 - 12:00 |
| ECTS | 3V+1Ü (6 LP) |
| Start | Thu. 21.04.2022 |
| Location | Hörsaal 1 F119 (Sand 6/7) |
| Zoom-Link | Lecture:https://zoom.us/j/97080693499?pwd=bkFSM051bWZBTjdhdXIvQ3FibFB6Zz09 Excercises: https://zoom.us/j/3724650553
|
| Cycle | every summer semester |
| Exam | TBA |
Description:
After a short introduction to the biological foundations of neural networks, the most important algorithms of artificial neural networks and their underlying theory will be introduced.
In the assignments sheets, you will apply and deepen the acquired knowledge in theoretical and practical tasks.
Registration (mandatory)
Via moodle: Introduction to neural networks
Prerequisites:
Basic scripting skills (such as in Python) and math background (Mathe 1+2+3)
Literature:
The lecture material will be distributed via moodle (see below).
Exercises for the lecture Introduction to neural networks
| Teaching Assistans: | Benjamin Kiefer, Daniel Weber, Jona Schröder |
| Office hours: | usually in the assignment class, in special cases by arrangement |
| Date/Time: | Thu. 12:15 - 14:00 |
| Location: | Hörsaal 1 F119 (Sand 6/7) |
| Handing out of the assignment sheets: | via moodle at lecture start |
| Submission of the assignment sheets: | via moodle one week later |
| Return of the corrected assignment sheets: | via moodle |
Remarks:
- Submission in teams of two
Assignment sheets and lecture material:
Via moodle: Introduction to neural networks