Deep Learning for NLP

Course at University of Bielefeld, held in Summer Semester 2022. Lecturer: Steffen Eger

More to come!

Lecture 1 (07.04.2022), "Introduction": Lecture 1 is in-class
Lecture 2 (14.04.2022), "ML principles" takes place online
- Inverted classroom videos (watch before you come to class):
- Video 1: Basic Concepts of ML
- Video 2: Supervised and Unsupervised ML
- Video 3: K nearest neighbors
- Video 4: Overfitting
- Video 5: Regularization
- Corresponding IC slides
Lecture 3 (21.04.2022), "Backpropagation" is in-class

Tutorial 1 (12.04.2022), 8:15-9:45
- zoom link (temporary): zoom
- Maybe we will move the tutorial to another slot on Tuesdays; I will send around a doodle as soon as possible

Details

Tutorial planned for Tuesdays 8:15 - 9:45
Tutorials are on zoom
Lecture is hybrid, i.e., some lectures will take place live in Bielefeld, while the others will take place via zoom
- More information: see Lecture 1
To pass the course, you need to work on an NLP problem (with deep learning), write a term-paper (8-10 pages) and present
Group work is in principle allowed