Artificial neural networks and the area of deep learning (https://en.wikipedia.org/wiki/Deep_learning) have recently started to attract significant interest in the areas of machine learning and image processing. Different types of artificial neural networks exist, such as deep neural networks, convolutional neural networks and recurrent neural networks. Current research focuses on a wide range of topics, including artificial intelligence, speech and object recognition. In this seminar, the basics for artificial neural networks will be investigated with an additional focus on medical applications. Additionally, students will have the chance to train their own networks.

Dates & Rooms:
Monday, 8:15 - 9:45; Room: KH 1.021

Hornegger, Joachim
Maier, Andreas
Ritschl, Ludwig