Deep Learning

SSDS 2017 is a summer school offered to graduate students, researchers and professionals in the area of data science. The program consists of lectures taught by outstanding researchers in the field. SSDS 2017 will concentrate on machine learning and specifically in deep learning as an important tool in many data science applications. The lecturers will present fundamental and advanced concepts of deep learning. The program includes hands-on sessions, demonstrating practical aspects of deep learning. SSDS 2017 program will include a poster session giving participants an opportunity to present and discuss their research results.

Course leader

General Co-Chairs: Sven Lončarić and Tomislav Šmuc

Target group

The audience will include doctoral students, postdocs, and researchers and developers working in academia and industry.

Course aim

The audience will get acquainted with fundamental and advanced concepts of deep learning. The hands-on sessions will give them good start in further practical usage of deep learning.