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General Information

Instructors	Dr. Younes Samih, Dr. Christian Wurm and David Arps
Practical sessions:	Tuesday, 14:30 – 16:00 Raum: PC-Pool 23.21.00.93
Theoretical sessions:	Thursday, 12:30 – 14:00 Raum: 24.21.05.61 (Z20)
Course web page:	https://user.phil-fak.uni-duesseldorf.de/~samih/teaching/dl-nlp2023/
Office hours:	by appointment
Language:	German and English

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Course Description

The aim of this course is to develop an understanding of the state-of-the-art techniques of neural networks and to apply them in practice, to natural language processing problems in particular. Thursday sessions will be typically dedicated to theory, Tuesday sessions – programming. During the practical sessions, we will use the PyTorch framework to implement our networks.

Script

The theoretical content can be found in the script (caution, frequent updates!).

Etherpad

for sharing code snippets etc.

Requirements

• BN: Complete the theoretical and the programming homework exercises. The homeworks will be published on this web page as we go.
• AP: Term paper based on a practical project: 4-5 pages for undergrad students, 7-10 pages for master students. Guidelines

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Schedule