Selection: Higher education credits in science and engineering (maximum 240 credits)
16 February 2023 – 27 March 2023
Entry requirements: 120 credits including Statistical Machine Learning, calculus of several variables, a second programming course and Introduction to Image Analysis or Computer-Assisted Image Analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.
Application fee: SEK 900
Tuition fee, first semester:
Tuition fee, total:
About the course
The course covers deep learning for visual data such as data driven image classification, linear classification and back propagation. It covers convolutional neural networks (CNN) and methods for training, visualising and interpret these, generative adversarial networks (GANs), different architectures and applications within image analysis (classification, detection, segmentation). Possibilities and limitations of deep learning, in particular in image analysis, is discussed.