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.
syväoppiminen tekoäly AI artificial intelligence
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