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=== Students from other universities === If you are not a student at TU and want to earn credit, you have to solicit [[https://www.tu.berlin/studierendensekretariat/themen-a-z/gast-und-nebenhoererschaft/|''Nebenhörerschaft'']]: * First fill the online [[https://www.static.tu.berlin/fileadmin/www/10002460/Bewerben_und_Einschreiben/Studierendenverwaltung/Antrag_auf_Nebenhoererschaft_englisch.pdf|''form'']] with the following details on the final page. || '''Course title and type''' || '''Program number''' || '''Number of course hours per week (SWS)''' || '''Lecturer''' || || Deep Learning 2 || #41072 || 4 || Robert Vandermeulen || * Send the form to vandermeulen@tu-berlin.de to sign * Then send the signed form to Manuela Gadow (manuela.gadow at tu-berlin.de), who is authorized to sign on behalf of our dean. * After getting your signed form back send it together with your current matriculation letter ('Immatrikulationsbescheinigung') to the student registration office (nebenhoerer@studsek.tu-berlin.de). '''Please make sure to trigger the above process on time. You may need to go through some bureaucracy to attain ISIS (the university's web portal) access, which is necessary to submit the mandatory homework. ''' |
Deep Learning 2
General Information
- Deep Learning L is a 6 LP (6 ECTS) credits module.
Lectures period |
17.4.2023-19.06.2023 |
First lecture |
17.4.2023 |
Lectures |
Mondays, 10:00 - 12:00 in H 2032 |
Exercises |
Mondays 14:00-16:00 in room H 3006 |
Exam Date |
27.6.2023, time and location TBD |
Trainer |
Robert A. Vandermeulen |
Student Assistants |
Mihail Bogojeski |
Lukas Muttenthaler |
|
Contact |
|
ISIS |
|
Language |
English |
Topics:
The scheduled topics are:
- Representation Learning
- Attention
- Density Estimation
- Generative Models
- Graph Neural Networks
- Equivariant Neural Networks
- Neural Ordinary Differential Equations
- Deep Reinforcement Learning
- Advanced Explainable AI
Students from other universities
If you are not a student at TU and want to earn credit, you have to solicit ''Nebenhörerschaft'':
First fill the online ''form'' with the following details on the final page.
Course title and type
Program number
Number of course hours per week (SWS)
Lecturer
Deep Learning 2
#41072
4
Robert Vandermeulen
Send the form to vandermeulen@tu-berlin.de to sign
- Then send the signed form to Manuela Gadow (manuela.gadow at tu-berlin.de), who is authorized to sign on behalf of our dean.
After getting your signed form back send it together with your current matriculation letter ('Immatrikulationsbescheinigung') to the student registration office (nebenhoerer@studsek.tu-berlin.de).
Please make sure to trigger the above process on time. You may need to go through some bureaucracy to attain ISIS (the university's web portal) access, which is necessary to submit the mandatory homework.