Neural Compression — Lecture 01.1 — Course Overview

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First video of the course "Data Compression With and Without Deep Probabilistic Models" by Prof. Robert Bamler at University of Tübingen (summer term of 2023).

Video Chapters:
0:00 Welcome
0:34 Recommended literature
0:48 Course outline
2:26 Communication over a channel
3:36 Properties of the data source
4:27 Probabilistic model of the data source
7:17 Properties of the channel
8:34 Probabilistic model of the channel
9:15 Lossy communication
10:19 Summary
11:01 Source-Channel Separation Theorem
13:44 Quiz
15:37 Solutions
16:56 Outlook & Problem Sets

© Robert Bamler / University of Tübingen, 2023 CC BY-NC-SA 3.0
  1. Tübingen Machine Learning
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Комментарии
Автор

This looks really exciting and I look forward to following along with this course. Thank you so much for releasing such high quality educational material on YouTube. Uni Tübingen is showing real leadership in ML education by providing this invaluable public service.

ChrisOffner
Автор

Thanks for making this special course publicly available. Looking forward to future lectures and assignments.

atlasflare
Автор

Love the outline! Looking forward to it

tempoaccoun
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Hi, are you going to upload the lectures on lossy compression this year?

genericperson
Автор

Thanks for sharing great educational material! What about the older series then??

dr-x-robotnik
Автор

Thank you very much for the videos. Please can you recommend areas to get resources that include research papers
if one is interested in this area of research? In summary, how do I follow trends in this area of research?
Thank you

leonardmensah