Neural Compression — Lecture 2 — Theoretical Bounds for Lossless Compression
Channel: Tübingen Machine Learning
Date: 2021-04-28

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