Course unit, curriculum year 2023–2024
DATA.ML.440
Neural Language Models, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Course code
DATA.ML.440Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Jaakko PeltonenResponsible teacher:
Tuomas VirtanenResponsible 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
NOT IMPLEMENTED DURING ACADEMIC YEAR 2021-2022
Completion of all options is required.
Exam
No scheduled teaching
Participation in teaching
No scheduled teaching