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Course unit, curriculum year 2024–2025
DATA.ML.440
Neural Language Models, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 3 (1.1.2025–2.3.2025)
Course code
DATA.ML.440Language of instruction
EnglishAcademic years
2024–2025, 2025–2026, 2026–2027Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Jyrki NummenmaaResponsible teacher:
Jaakko PeltonenResponsible teacher:
Pekka AbrahamssonResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Natural language understanding
Word representations
Feed-forward, recurrent, and convolutional neural networks for NLP
Sequence to sequence models, attention and self-attention, and relevant models
Text generation and decoding techniques
Summarization and topic extraction
Sentiment analysis
Machine translation
Captioning (image and audio), question answering, dialogue systems, and chatbots
Learning outcomes
Compulsory prerequisites
Learning material
Studies that include this course
Completion option 1
Course assignments
Participation in teaching
08.01.2025 – 25.02.2025
Active in period 3 (1.1.2025–2.3.2025)