Valid from: Spring 2019
Decided by: Professor Thomas Johansson
Date of establishment: 2019-11-25
Division: Automatic Control
Course type: Third-cycle course
Teaching language: English
Learn about deep learning and GANs.
Knowledge and Understanding
For a passing grade the doctoral student must
Competences and Skills
For a passing grade the doctoral student must Be able to implement different machine learning methods in different programming languages.
Judgement and Approach
For a passing grade the doctoral student must Know which problems different machine learning methods can and should be used.
Three modules: - Deep learning basic - Deep learning training - Advanced deep learning
Slides and videos.
Types of instruction: Lectures, seminars, exercises, project. Three two day workshops covering: - Deep learning basic - Deep learning training - Advanced deep learning
Examination format: Written assignments
Grading scale: Failed, pass
Web page: https://wasp-sweden.org/deep-learning-and-gans-6-credits/