Advanced Deep Learning for Image Processing

Education facts

Code: 1MD042

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.

Entry requirements

120 credits. Participation in Deep Learning and Neural Networks. Participation in on of the courses Introduction to Image Analysis and Computer-Assisted Image Analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Advanced Deep Learning for Image Processing

  Uppsala University

  Uppsala

  Start date: 22 March 2027

  End date: 6 June 2027

  Pace of study: 33 %