Lecture (in German): A Gentle Introduction to Deep Learning16:45 pm | Technische Universität Dresden | Institut für Kommunikationswissenschaft | Zellescher Weg 17 | Raum BZW/A152
Prof. Dr. Andreas Maier
Head of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg
This presentation tries to give a gentle introduction to deep learning, proceeding from theoretical foundations to applications. We first discuss general reasons for the popularity of deep learning, including several major breakthroughs in computer science. Next, we start reviewing the fundamental basics of the perceptron and neural networks, along with some fundamental theory that is often omitted. Doing so allows us to understand the reasons for the rise of deep learning in many application domains. Medical image processing and digital humanities are examples of areas which have been largely affected by this rapid progress. Mostly perceptual tasks have benefitted from this, as we show in our examples. However, there are also recent trends in physical simulation, modelling, and reconstruction that have led to astonishing results. Yet, some of these approaches neglect prior knowledge and hence bear the risk of producing implausible results. These apparent weaknesses highlight current limitations of deep learning. However, we also briefly discuss promising approaches that might be able to resolve these problems in the future.
This lecture is organized by DRESDEN-concept e.V., working group Digital Humanities Dresden and the Junior Research Group UrbanHistory4D.