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Parallel and Distributed Deep Learning

On 03.11.2022 at 11 a.m., the 16th lecture of the Living Lab lecture series will take place. In this talk, Andrei Politov from TU Dresden talked about Parallel and Distributed Deep Learning

Parallel and Distributed Deep Learning

Deep Learning technologies are a fast-growing area of Machine Learning. These technologies have been used in many promising industry projects and scientific research, which has allowed machine learning to develop widely in recent years. Effectiveness and utilization of the power of modern computers are one of the core challenges that Deep Learning faces. However, Deep Learning models have inherent parallelism. Exploiting and applying this parallelism to hardware is one of the most exciting and important research directions that researchers of these models face. In the lecture a variety of topics in the context of parallelism and distribution in Deep Learning will be discussed.

Missed this Living Lab lecture on Parallel and Distributed Deep Learning? You can rewatch it on YouTube.

Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

FAQ

You can reach the permanent room for all lectures here: https://tud.link/i8zf

The room will be accessible 5 minutes before the start of the lecture.

The participation is free for everyone.

No! Not at all. One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.

You just need an up-to-date browser such as Firefox, Google Chrome or Chromium. We would also recommend using headphones for better audio quality.

Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.

Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.

funded by:
Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.