Deep Neural Networks
Deep Neural Networks is an optional course in the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).
In the general case, it is not possible to take the Deep Neural Networks course as a standalone course. There are possible exceptions to this (e.g. it complements another ML or related course you are taking in parallel). In that case, a special request needs to be made.
General Information
Lecture period |
TBA |
Lecture |
TBA |
Language |
English |
Trainer |
Grégoire Montavon |
Contact |
|
ISIS |
TBA |
Frequently Asked Questions (FAQ)
- When does the course start? TBA
- How to register for the course? Pre-registration is not needed.
Main Topics
- DNN basics
- Model complexity and model selection
- Optimization of DNNs
- DNNs for images
- DNNs for time series
- Explaining DNN decisions
- DNNs beyond classification