Worum es bei uns geht

Deep Learning is currently a big & growing trend in data analysis and prediction - and the main fuel of a new era of AI. Google, Facebook and others have shown tremendous success in pushing image, object & speech recognition to the next level.

But Deep Learning can also be used for so many other things! The list of application domains is literally endless.

Although rooted in Neural Network research already in the 1950's, the current trend in Deep Learning is unstoppable, and new approaches and improvements are presented almost every month.

We would like to meet and discuss the latest trends in Deep Learning, Neural Networks and Machine Learning, and reflect the latest developments, both in industry and in research.

The Vienna Deep Learning meetup is positioned at the cross-over of research to industry - having both a focus on novel methods that are published in such a fast pace, and interesting new applications in the startup and industry world. We usually have 2 speakers from either academia, startups or industry, complemented by a "latest news and hot topics" section. Occasionally we do tutorials about software frameworks and how to use Deep Learning in practice. Each evening ends with networking & discussions over drinks and snacks.

Please find all slides of our past meetups, links to photos and some video recordings of our meetups + a wealth of resources to Deep Learning tutorials and more here: https://github.com/vdlm/meetups

Note that this meetup has an intermediate to advanced level (we have done introductions to Deep Learning and neural networks only in the beginning, but try to repeat the most important concepts regularly).

Bevorstehende Events (1)

43rd Deep Learning Meetup in Vienna (online)


Dear Deep Learning community,

As expected, we need to (and should anyway) return to having our meetups online on Zoom, with a shorter program. Our next one takes place on December 1st, 18:30 CET.

Our agenda is as follows:

18:30 - 18:40 Welcome & Introduction
18:40 - 19:40 Introduction to Transformers with a focus on Computer Vision (incl. Q&A)
19:40 - 19:45 Announcements
19:45 - 20:00 Transformers follow-up: What about audio?
20:00 - 20:30 Networking (in Zoom breakout rooms)


Main talk: Introduction to Transformers with a focus on Computer Vision - Michael Pieler, contextflow

Transformers are a very interesting model architecture for deep learning that recently is getting more traction in computer vision. This talk aims to discuss the building blocks and setups of Transformers in general and will then go through selected publications with interesting applications.
Participants are encouraged to ask questions during the talk.

Short talk: Transformers follow-up: What about audio? - Jan Schlüter, JKU

Complementing the main talk, we will briefly look at selected works applying the Transformer architecture in the audio domain.

Vergangene Events (44)

42nd Deep Learning Meetup in Vienna (in-person!)

University of Applied Sciences Technikum Wien

Fotos (242)