Deep Neural Networks or so-called deep learning has attracted significant attention in the recent years. Interestingly the concept of Neural Networks inspired researchers already over generations since Minky's famous book (cf. http://en.wikipedia.org/wiki/Society_of_Mind ). Yet again, this technology brings researchers to the believe that Neural Networks will eventually be able to learn everything (cf. http://www.ted.com/talks/jeremy_howard_the_wonderful_and_terrifying_implications_of_computers_that_can_learn ). In this seminar, we will investigate the basics of neural networks as already found in Minsky's design and expand on this on the advances to modern deep convolutional neural networks. In addition, we will also investigate open-source deep learning libraries and look into the newest results in literature. Application (summer term 2017) in StudOn: https://www.studon.fau.de/studon/goto.php?target=crs_1815925

Dates & Rooms:
Monday, 16:00 - 17:30; Room: Übung 4 / 01.253-128