Differences between revisions 1 and 2

Deep Neural Networks

Deep Neural Networks is an optional course in the module "Machine Learning 2-X" 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	gregoire.montavon@tu-berlin.de
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

-  ⇤ ← Revision 1 as of 2019-02-06 11:15:34 → 
  Size: 1044
  Editor: GrégoireMontavon
  Comment:
+   ← Revision 2 as of 2019-03-22 20:53:11 → ⇥
  Size: 1022
  Editor: GrégoireMontavon
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 3:
-Deep Neural Networks is an optional course in the module "Machine Learning - Theory and Applications" and is worth 3 LP (3 ECTS credits).
+Deep Neural Networks is an optional course in the module "Machine Learning 2-X" and is worth 3 LP (3 ECTS credits).