Deep learning has meant a breakthrough in the artificial intelligence community. The best performances attained so far in many fields, such as Computer Vision or Natural Language Processing, have been overtaken by these novel paradigm up to a point that only ten years ago was just science fiction. In addition, this technology has been open sourced by the main IA companies; and hence making quite straightforward to design, train and integrate deep-learning based systems. We open this session to both theoretical and practical works on deep learning.
Main topics include (but not restricted to):