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

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• 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