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Seminar "Understanding Deep Learning" (WS25/26)

This seminar is based on the open-access book Understanding Deep Learning by Simon Prince.

Each week, one or more students will present a chapter or topic and document the results here. The goal is to create a collaborative, semester-long learning resource, including presentation summaries, discussion notes, and reports.

Announcements

  • On 3rd November I have to attend my research group meeting to give a presentation - I would ask you to start around 1.5 hours later, so at 15.30. Please let me know if it does not work for you.
  • Presentations will be stored (at least for the time of the seminar) here
  • On 1st December my collegue Tim Katzke will replace me while I am away at a conference.

Semester Details

  • Dates: 20 Oct 2025 – 2 Feb 2026
  • Venue: room OH12/1.054
  • Meetings: Mondays, weekly, 14.00-16.00
  • Winter break: 22 Dec 2025 – 2 Jan 2026

Student Responsibilities

  • Present once: Each student is responsible for presenting one chapter or part of combined topic.
  • Document presentations: After each session, prepare a written report summarizing key points of the chapter or combined topic.
  • Discussion: Each student (or group of two) is responsible for discussion for one topic, different from the presented one. After each session, prepare a written report summarizing key discussion outcomes.
  • Contribute to the GitHub site: Upload your report in the appropriate folder on the repository.

Resources

  • Report Template: 
\# Report – Week XX: \[Chapter Title]



\*\*Presenter:\*\* \[Name]  

\*\*Date:\*\* \[DD.MM.YYYY]  



\## Summary

(1–2 page summary of key concepts, equations, and methods)


\## Discussion Notes

\- Key questions raised during seminar

\- Open problems or unclear points



\## References

\- Links to relevant papers, blog posts, code
  • Book Chapters: Access online here

The detailed seminar schedule is available on the Schedule Page.