DeepLearn 2023 Winter
8th International School
on Deep Learning
Bournemouth, UK · January 16-20, 2023
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  • Home
  • Schedule
  • Lecturers
  • News
  • Accommodation
  • Info
    • Travel from London to Bournemouth
    • Sponsoring
    • Code of conduct
    • Visa
    • Testimonials
Testimonials

Testimonials

From previous events

Artur Schweidtmann, Assistant Professor, Delft University of Technology: DeepLearn is a great way to start a PhD in applied AI research.

Franko Hržić, Teaching Assistant, University of Rijeka: Five days of versatile, high-quality lectures. Great opportunity to expand general and topic-specific knowledge about machine learning!

Carlos Alves, PhD student, University of Minho: DeepLearn was an extremely well organized event with very enriching content for my future investigations, increasing my mindset regarding new trends in deep learning.

Martin Schultz, Head of research group Earth System Data Exploration, Jülich Supercomputing Centre: Great school covering a wide range of deep learning topics with sufficient depth. I was very pleased about a lot of interaction with the students in my classes.

Rikesh Amin, PhD student, Imperial College London: It was a unique experience. Coming from a non-conventional engineering background I learnt many new topics which I will be able to apply to my PhD project. However, meeting new people was the best part!

Oliver Sampson, Self-employed, Germany: Compared to other schools, the format of this one, where a lecturer gets three 1.5 hour lecture slots, allows for a genuine deep dive into a topic. The quality of the speakers, not just the content, but also the presentation, was also exceptional.

Kenneth Ezukwoke, PhD student, École des Mines de Saint-Étienne: The school was everything I expected and IsoBeriyyer! (more). The deliveries on generative modeling came with a touch of expertise from each lecturer.

Yu Chen, PhD candidate, University of Liverpool: DeepLearn was a fantastic event, even though I had to attend it virtually. But still, there’s a silver lining that I get to watch those recordings over and over.

Samuel Sousa, PhD candidate, Graz University of Technology / Researcher, Know-Center GmbH: DeepLearn has broadened my horizon to directions beyond deep learning research. This event is a great opportunity to interact with experts from academia and industry willing to share their knowledge of state-of-the-art models, career paths, and effective communication.

Robert Baumgartner, PhD candidate, Delft University of Technology: I really enjoyed the school. The talks were mostly interesting, and well done. I also liked how close the lecturers were with us, most of them were really approachable.

Efstratios Gavves, Associate Professor of Temporal Learning & Neural Dynamics, University of Amsterdam: DeepLearn is a great opportunity to revisit current knowledge of deep learning and communicate the latest and hottest research findings to the next generation of our peers.

Oskar Moström, Masters student, Luleå University of Technology: A fantastic opportunity to meet and share ideas with leading researchers as well as new brilliant minds of students.

Alper Yilmaz, Professor of Geoinformatics, The Ohio State University: It was a pleasure to instruct at the DeepLearn event. I was amazed by the amount of attention the participants gave to talks which resulted in continuing engagement and stimulating discussions throughout and after the event.

Othmane Rifki, Principal Applied Scientist, Spectrum Labs: Students were very engaged and the lectures interactive. As a lecturer, I had a great experience sharing the latest and greatest in deep learning from the industry side and a lot of the DeepLearn students were very interested in learning about the application side of modern techniques.

Md Eunus Ali Rupom, Masters student, University of Koblenz and Landau: DeepLearn was an event of intellectuals in different fields mainly focused on applying deep learning in their research. Feeling great to have the experience of participating and meeting ingenious personas.

Sean Benson, Postdoctoral fellow, Netherlands Cancer Institute: DeepLearn was impeccably organised and thoroughly enjoyable. The discussions and collaborations it generates are a springboard for personal development.

Namrata Gurung, Data Scientist, QualityMinds GmbH: DeepLearn provided an extremely insightful series of in-depth lectures, and led to a very interesting exchange of ideas in diverse deep learning topics. It was a truly engaging event which led to fruitful connections, and new visions.

DeepLearn 2022 Winter

CO-ORGANIZERS

Bournemouth University
Department of Computing and Informatics

Universitat Rovira i Virgili, Tarragona

Institute for Research Development, Training and Advice – IRDTA, Brussels/London

Active links
  • DeepLearn 2023 Summer – 10th International Gran Canaria School on Deep Learning
  • BigDat 2023 Summer – 7th International School on Big Data
  • DeepLearn 2023 Spring – 9th International School on Deep Learning
Past links
  • DeepLearn 2022 Autumn
  • DeepLearn 2022 Summer
  • DeepLearn 2022 Spring
  • DeepLearn 2021 Summer
  • DeepLearn 2019
  • DeepLearn 2018
  • DeepLearn 2017
© IRDTA 2022. All Rights Reserved.
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