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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. |
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| ||'''Lecture period'''|| from 09 Mai 2018 to 27 Jun 2018 || | ||'''Lecture period'''|| from 09 May 2018 to 27 Jun 2018 || |
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| ||'''Language'''|| English || | |
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=== Frequently Asked Questions (FAQ) === * When does the course start? On Wednesday 9 May 2018 * How to register for the course? Pre-registration is not needed. === Main Topics === * DNN basics * Model complexity and model selection * Optimization of DNNs * DNN for images * DNN for time series * Explaining DNN decisions * DNNs beyond classification |
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 |
from 09 May 2018 to 27 Jun 2018 |
Lecture |
Wednesdays 08:15-10:00 in room H 2032 |
Language |
English |
Trainer |
Grégoire Montavon |
Contact |
|
ISIS |
TBA |
Frequently Asked Questions (FAQ)
- When does the course start? On Wednesday 9 May 2018
- How to register for the course? Pre-registration is not needed.
Main Topics
- DNN basics
- Model complexity and model selection
- Optimization of DNNs
- DNN for images
- DNN for time series
- Explaining DNN decisions
- DNNs beyond classification