Deep Learning and Explaining Decisions of Deep Learning Predictors

วันที่ 20 ธันวาคม 2560 (18.00น. – 20.30น.)

สถานที่ American Bar & Grill 4/26 Sukhumvit Soi 8

 

Dr. Alexander Binder, Asst. Professor at Singapore University of Technology and Design (SUTD), will introduce deep learning and talk about decisions of neural networks and layer-wise relevance propagation. After the talk (about 1.5h) a hands-on session (1h) exemplifies the approach so that the participants gain some practical experience.

Alexander (Alex) Binder obtained a Ph.D. degree at the department of computer science, Technical University Berlin in 2013. Before he held a Diplom degree in mathematics from the Humboldt University Berlin. Since 2007, he has been working for the THESEUS project on semantic image retrieval at Fraunhofer FIRST where he was the principal contributor to top five ranked submissions at ImageCLEF2011 and Pascal VOC2009 challenges. From 2012 to 2015 he worked on real-time car localization topics in the Automotive Services department (ASCT) of the Fraunhofer Institute FOKUS. From to 2010 to 2015 he was with the Machine Learning Group at the TU Berlin. He likes to program in C++, knows a bit about internals of the Caffe toolbox and is using here and there python. His research interests include computer vision, medical applications, machine learning (kernel machines and deep learning), efficient heuristics and understanding non-linear predictions. (https://istd.sutd.edu.sg/people/faculty/alexander-binder)