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.
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.
