Deep Learning
5 credits
Course, Master's level, 1RT720
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 18 January 2027–21 March 2027
- Language of instruction
- English
- Entry requirements
-
120 credits. Participation in Statistical Machine Learning and a second programming course. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 October 2026
- Application code
- UU-61815
Admitted or on the waiting list?
Spring 2027 Spring 2027, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 18 January 2027–21 March 2027
- Language of instruction
- English
- Entry requirements
-
120 credits. Participation in Statistical Machine Learning and a second programming course. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
About the course
This is a continuation course in machine learning, focusing on deep learning. It is divided in two modules:
- Module 1: Deep learning fundamentals: Neural networks, backpropagation, optimisation, initialisation, and regularisation.
- Module 2: Neural network architectures for
- image data (model architecture: convolutional neural networks and residual networks),
- sets and sequential data (model architecture: transformers), and
- graph data (Model architecture: graph neural networks).
The course consists of lectures, computer labs, hand-in assignments, helpdesks and a final exam.