Neural Compression — Lecture 2 — Theoretical Bounds for Lossless Compression

Second week of the course “Data Compression With Deep Probabilistic Models” by Prof. Robert Bamler at University of Tübingen (summer term of 2021).

These videos were deliberately recorded at a calm pace. Click the cogwheel in the lower right corner of the video player to adjust playback speed to your personal preference.

Playlist for entire course: https://youtube.com/playlist?list=PL05umP7R6ij0Mp1dW2HuXlb-UQIYnv8xK
Problem Set (with code examples): https://robamler.github.io/teaching/compress21/problem-set-02.zip
Lecture Notes: https://robamler.github.io/teaching/compress21/lecture-notes-02.pdf
More materials: https://robamler.github.io/teaching/compress21/

Credits for video material on Kraft-McMillan Theorem: https://www.youtube.com/watch?v=yHw1ka-4g0s&list=PLE125425EC837021F&index=14

© Robert Bamler / University of Tübingen, 2021 CC BY-NC-SA 3.0

Source of this “Tübingen Machine Learning” AI Video

AI video(s) you might be interested in …