Period: February - April

Poster galleries by edition

About

The course is about basic Deep Learning methods, current models and capabilities. It is an optional course primarily (but not exclusively) for third-year undergraduates of the Faculty of Mathematics and Computer Science, University of Bucharest. It covers basic theoretical concepts about training neural networks, followed by applications in computer vision and natural language understanding, with an accent on the applied part, through labs, assignments and the final project.