Deep Learning for Image Analysis, 7.5 credits
Academic year 2023/2024
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Spring 2024, 50%, Campus
Start date: 18 March 2024
End date: 2 June 2024
Application deadline: 16 October 2023
Application code: UU-61612 Application
Language of instruction: English
Location: Uppsala
Selection: Higher education credits in science and engineering (maximum 240 credits)
Registration: 4 March 2024 – 25 March 2024
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.
Fees:
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: SEK 18,125
Tuition fee, total: SEK 18,125
About the course
The course covers deep learning for visual data such as data-driven image classification, linear classification and backpropagation. It covers convolutional neural networks (CNN) and methods for training, visualising and interpreting these, generative adversarial networks (GANs), different architectures and applications within image analysis (classification, detection, segmentation). The possibilities and limitations of deep learning, in particular in image analysis, are discussed.
More information
Contact
Department of Information Technology
hus 10, Lägerhyddsvägen 1
Box 337, 751 05 UPPSALA
Email: info@it.uu.se
Student counsellor
Email: studievagledare@it.uu.se