A Shallow Introduction to Deep Learning by Sinan Kalkan

Abstract: Thanks to advances in computing technologies, availability of large amounts of data, and the discovery of new training techniques, deep learning has led to performance boost in many challenging problems across different domains. In this talk, I will make a very brief introduction to deep learning, focusing mainly on its properties, why it works and how it works.

Short bio: Sinan Kalkan received the M.Sc. degree in computer engineering from Middle East Technical University, Ankara, Turkey, in 2003, and the Ph.D. degree in informatics from the University of Göttingen, Göttingen, Germany, in 2008. He joined the Department of Computer Engineering at METU after his PhD. Sinan Kalkan’s research interests include computer vision, cognitive robotics and deep learning.

Location: Conference Room (124), METU Informatics Institute
Time: May 5, 2017, 12:40-13:30