Josef Nový - Deep Learning Made Easy: Practical Applications, Advantages of Mathematical Background

Watch Josef Nový lecture on effortless deep learning: practical applications and benefits of mathematical knowledge at the Unicorn University Open conference.
Josef Nový is an academic staff member of the Faculty of Nuclear and Physical Engineering, specifically the Department of Software Engineering. He specializes in software development and processing large volumes of data. He gained experience during a three-year internship at CERN, where he developed data collection software for the COMPASS experiment and continues to lead a team working on data collection development for the related AMBER experiment. He collaborates on various projects using deep learning and promotes computer literacy from kindergarten to university.
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