HS Deep Learning for NLP (HSprakt)- Dozent/in
- Prof. Dr. Stefan Evert
- Angaben
- Hauptseminar
2 SWS, ECTS-Studium, ECTS-Credits: 5
Bachelor
Zeit und Ort: Mi 8:30 - 10:00, 0.154-115
- Inhalt
- 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-Informationen:
- Credits: 5
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 5, Maximale Teilnehmerzahl: 25
www: https://www.studon.fau.de/crs2285449.html
Für diese Lehrveranstaltung ist eine Anmeldung erforderlich.
Die Anmeldung erfolgt von Montag, 23.7.2018, 9:00 Uhr bis Mittwoch, 17.10.2018, 12:00 Uhr über: StudOn.
- Institution: Lehrstuhl für Korpus- und Computerlinguistik
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