Deep Learning Seminar 2017/18

In recent years, deep neural networks have been used to solve complex machine-learning problems and have achieved significant state-of-the-art results in many areas. The whole field of deep learning has been developing rapidly, with new methods and techniques emerging steadily.

The goal of the seminar is to follow the newest advancements in the deep learning field. The course takes form of a reading group – each lecture a paper is presented by one of the students. The paper is announced in advance, hence all participants can read it beforehand and can take part in the discussion of the paper.

Related Courses

  • Deep Learning – Course introducing deep neural networks, from the basics to the latest advances, focusing both on theory as well as on practical aspects.

Summer Semester

In summer semester 2017/2018, the Deep Learning Seminar takes place on Tuesday at 14:00 in S1. We will first meet on Tuesday Feb 27.

If you want to receive announcements about chosen papers, sign up to our mailing list.

Winter Semester

The seminar is not held in winter semester because several organizers are abroad on research stays.