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HS Deep Learning for NLP (HSprakt)- Lecturer
- Prof. Dr. Stefan Evert
- Details
- Hauptseminar
2 cred.h, ECTS studies, ECTS credits: 5
Bachelor
Time and place: Wed 8:30 - 10:00, 0.154-115
- Contents
- Deep neural networks – also known as deep learning – have attracted significant attention in recent years. They have had a transformative influence on natural language processing (NLP) and artificial intelligence (AI), with numerous success stories and even claims of superhuman learning performance in certain tasks. According to Young et al. (2017), more than 70% of the papers presented at recent NLP conferences made use of deep learning techniques.
This seminar will focus on sequence learning with LSTM (long short-term memory) and similar recurrent network architectures and on their application to natural language processing tasks.
- ECTS information:
- Credits: 5
- Additional information
- Expected participants: 5, Maximale Teilnehmerzahl: 25
www: https://www.studon.fau.de/crs2285449.html
Registration is required for this lecture.
Registration starts on Monday, 23.7.2018, 9:00 and lasts till Wednesday, 17.10.2018, 12:00 über: StudOn.
- Department: Chair of Computational Corpus Linguistics (Prof. Dr. Evert)
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