Deep Learning for Environment Perception
Dr. M. Lauer
The lab course on deep learning architectures is intended to get familiar with a new paradigm in machine learning, the so-called deep learning architectures. They are based on neural networks and overcome the problems of classical learning algorithms for neural networks by combining supervised and unsupervised techniques. During recent years amazing results have been achieved with these techniques. Application areas can be found mainly in pattern recognition.
The lab course will start with a short seminar phase in which the participants read and discuss research papers on the topic of deep learning architectures to get a basic idea of this technique. After that, we will apply deep learning techniques to pattern recognition tasks in computer vision and data analysis.