Deep Learning, Spring Semester 2026

https://moduler.aau.dk/course/2025-2026/ESNNDSK2K3?lang=en-GB

This deep learning course provides a comprehensive foundation in deep learning by balancing theoretical principles with hands-on practical applications. Students will explore core concepts in representation learning, optimization, and regularization, alongside advanced topics such as transformer networks, generative models, self-supervised learning, and deep reinforcement learning. Beyond architectural design, the curriculum emphasizes critical contemporary issues including AI fairness, bias, and explainability, ensuring students can effectively implement and tune deep learning models for diverse real-world challenges.