Deep Learning (212018-WiSe 2024/25)

Deep learning is a subfield of machine learning, which has led to breakthroughs in numerous application areas (such as object and speech recognition and machine translation) in recent years.

The aim of the lecture is to provide an insight into this field. At the beginning, the basic terms and concepts of machine learning are introduced. In the further course, various neural networks, gradient-based optimization methods and generative models are discussed.

Deep learning methods are used in areas such as IT security.

The final exam will be a written final module exam (120 minutes).