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Deep learning
Individual course
Max amount of FITech students: 30
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 WebOodi course page.
You can get a digital badge after completing this course.
Responsible teacher
University of Oulu
Li Liu
li.liu(at)oulu.fi
Contact person for applications
FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
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Category:
ICT Studies
Topic:
AI and machine learning
Course code:
521152S
Credits:
5 ECTS
Level:
Teaching period:
28.10.–12.12.2019
Application deadline:
21.10.2019
Host university:
University of Oulu
Study is open for:
Adult learner,
Degree student
Degree student
Teaching methods:
Contact
Place of contact learning:
Oulu
Language:
English
General prerequisites:
BSc in Computer science or equivalent.
