Deep Learning for Computer Vision

This advanced course explores the principles, techniques, and applications of deep learning in computer vision. Students will learn to design, train, and validate neural networks for image classification, object recognition, semantic segmentation, and other computer vision tasks. They will also study advanced techniques for improving deep learning model performance and visualizations to provide guidance for further model development. By the end of the course, students will be equipped to apply deep learning techniques to solve real-world problems in various domains.

The course is managed via the Moodle learning platform. All documents and further information can be found in the Moodle course Deep Learning for Computer Vision.