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

Start the application process

Category:

ICT Studies

Topic:

AI and machine learning

Course code:

521152S

Credits:

5 ECTS

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

Level of studies:

Advanced

Teaching methods:

Contact

Place of contact learning:

Oulu

Language:

English

General prerequisites:

BSc in Computer science or equivalent.