Deep Learning and Neural Networks
Deep learning is a recent topic within machine learning and artificial intelligence. In deep learning, we have models of large and complex artificial neural networks that imitate how the human brain processes information in presence of large amounts of data. Today deep learning is one of the most exciting and innovative parts of machine learning. When the amount of data increases, and the problems become more complex, we are facing new challenges; and this is when we need deep learning. The subject is under strong development and will be important for advanced products and services today and in the future.
Occasions for this course
Autumn semester 2025
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Scope
7.5 credits
Time
2025-11-10 - 2026-01-18 (part time 50%)
Education level
First cycle
Course type
Freestanding course
Application code
MDU-24079
Language
English
Study location
Eskilstuna
Course syllabus & literature
See course plan and literature list (DVA307)Specific requirements
Completed courses of 60 credits in computer science, of which includes Programming 7,5 credits, Data Structures, Algorithms and Program Development 7,5 credits and Artificial Intelligence 1 7,5 credits. In addition basic vector algebra 7,5 credits and basic calculus 7,5 credits are needed.
Selection
University credits
Questions about the course?
If you have any questions about the course, please contact the Course Coordinator.