Deep Learning Day 2018

We are pleased to announce the third Deep Learning Day on Friday the 14th of September 2018.

The event will take place at ZHAW School of Engineering in Winterthur (for details see below) and is organised by the ZHAW Winterthur and the HTWG Konstanz.

As for the previous events, we would like to have an active participation and encourage you to send in an abstract for a poster and/or a talk describing your work using deep learning methods by latest 26th of August. Note that the number of participants will be limited to 50 persons (first come first serve) and attendees with active presentation will be given preference.


The focus of the workshop is on sharing experience with other fellow deep learners and to connect with each other. There will be sessions with contributed talks and also a poster session during an extended apero.

We are happy to announce that Thomas Fischbacher from Google will give a tutorial on the latest developments in Tensorflow which will include a hands-on part - so please bring your laptops with you.


We are looking for poster/talk contributions on all areas of deep learning. This time we want to set a focus on probabilistic aspects of deep learning such as assigning uncertainties to predictions. Contributions from these fields are especially welcome, however we welcome all deep learning related contributions.

Please submit an abstract as described in abstract submission

Important Dates

Conference costs

60 CHF or 30 CHF for students with student card, these will cover an apero. Lunch is possible e.g. in the cafeteria on your own expense.


Will open on the 1st of July for presenters (talk and/or poster) and on the 14th of July for all participants.
Register here


Time                       Presenter                                           Topic                                                                                          
09:00 - 09:20

09:20 - 09:30

Oliver, Beate and Elvis Welcome
09:30 - 10:00

Cristina Rossi Talk: Automatic classfication of mammograhic breast density abstract slides
10:00 - 10:30

Lukas Tuggener Talk: Optical music recognition using deep watershed detection abstract slides
10:30 - 10:45

Coffee Break Coffee Break
10:45 - 12:15

Thomas Fischbacher (Google) Tutorial 1: TensorFlow Eager Execution abstract
12:15 - 13:30

Lunch at your own expense (e.g. Cafetaria ZHAW)
13:30 - 15:00

Thomas Fischbacher (Google) Tutorial 2: TensorFlow Beyond Basics abstract
15:00 - 15:15

Coffee Break Coffee Break
15:15 - 15:45

Mohammadreza Amirian Talk: Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps abstract slides
15:45 - 16:30

Various Spotlight Talks and closing
16:30 -

You Posters and Apero

Previous events

Organized by tensorchiefs: Beate Sick, Oliver Dürr and Elvis Murina