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In this video you will learn the basics of the theory behind denoising autoencoders.
The code to produce the Manim animations for this video is available here:
https://github.com/ytdeepia/Denoising-Autoencoders
If you want to dive deeper in the theory or the applications, I strongly suggest you read these papers:
- https://www.iro.umontreal.ca/~vincentp/Publications/smdae_techreport.pdf
- https://arxiv.org/abs/2103.04715
Chapters:
- 00:00 Intro
- 00:45 Basics
- 03:40 The Manifold Hypothesis
- 05:30 Sponsor
- 06:26 MMSE estimator
- 09:54 Scores
- 11:40 Noising and blurring
- 13:12 Tweedie's formula
This video features animations created with Manim, inspired by Grant Sanderson's work at @3blue1brown. This video was sponsored by Brilliant.
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