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Deep learning

Individual course

Max amount of FITech students: 30

Please note the early application deadline.

This course provides an elementary hands-on introduction to deep learning. Students taking this course will learn the theories, models, algorithms, implementation and recent progress of deep learning and obtain empirical experience on training deep neural networks. Applications of deep learning to typical computer vision problems such as object detection and segmentation will also be included.

Coursework will consist of programming assignments in TensorFlow. After this course, students will learn to implement, train and debug their own neural networks.

More information on University of Oulu’s course page.

You can get a digital badge after completing this course.

syväoppiminen tekoäly AI artificial intelligence

Responsible teacher

University of Oulu
Li Liu

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
Application period has ended
Application period has ended
AI and machine learning
Course code:
Study credits:
0 €
Course level:
Teaching period:
Application deadline:
Application period has ended
Host university:
University of Oulu
Who can apply:
Adult learner,
Degree student
Teaching method:
Place of contact learning:
Teaching language:
General prerequisites:
BSc in Computer science or equivalent. Course Machine Learning.
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This course is included in the following theme