Deep Learning Seminar

Machine Learning, Deep Learning and the analysis of huge amounts of data in general are becoming more and more important. Such methods are used in almost every area of research, development or industry. The Deep Learning Seminar of the Fraunhofer ITWM is intended to give interested persons an insight into this large field of research and a deeper understanding. Everyone who wants to learn more about Deep Learning, Machine Learning or AI in general is invited - no matter if students, PhD students, professors or software developers.

Speakers

In addition to the employees of our department, interested external speakers can also give a lecture in our seminar series. We also have the opportunity to invite external speakers. We are always open to suggestions, suggestions or requests.

 

Lectures and Talks

A talk should have a minimum length of 20 minutes and a maximum length of 60 minutes. The remaining time is available for questions, comments and feedback. We plan a maximum of 60 minutes for each seminar.

The topic of a talk should either come directly from or is relevant to Deep Learning, Machine Learning, Data Analysis or AI, no matter whether it is about a paper, an own project on or an interesting topic. The complexity can range from an overview talk to a special topic.

 

Contact

In addition to the website with current information, we offer a mailing list: Subscribe

 

Dates

The seminar takes place regularly on Thursdays at 10 am at the Fraunhofer-ITWM in room E4.09 (Riemann). Titles and other dates will be added in the course of the year.

The talks of our employees of the department are marked with (ITWM). These dates can be postponed without any problems if there is interest in a lecture on this date.

04.07.2019 Dominik Loroch (ITWM)
Deep Learning is a Highly Parallelizable Task : Overview on Distributed Deep Learning
More on the talk
11.07.2019 Dushyant Mehta (Max Planck Institute for Informatics)
Emergence of Implicit Filter Sparsity in Convolutional Neural Networks: Examining the Causes and Implications
More on the talk
22.08.2019 Valentin Tschannen (ITWM)
29.08.2019 Dominik Straßel (ITWM):
AI and Data Privacy – An Overview
05.09.2019 to be announced
12.09.2019 Peter Labus (ITWM)
19.09.2019 Yang Yang (ITWM)
26.09.2019 to be announced
10.10.2019 Philipp Reusch (ITWM)
17.10.2019 Dominik Loroch (ITWM)
24.10.2019 to be announced
31.10.2019 Ricard Durall Lopez (ITWM)
07.11.2019 Kalun Ho (ITWM)
14.11.2019 to be announced
28.11.2019 Avraam Chatzimichailidis (ITWM
05.12.2019 Mikita Vedzeneyeau (ITWM)
19.12.2019 to be announced