Cornell CS 6785: Deep Generative Models. Lecture 5: Latent Variable Models

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  • Опубликовано: 7 ноя 2024

Комментарии • 4

  • @Geraltofrivia12gdhdbruwj
    @Geraltofrivia12gdhdbruwj 7 месяцев назад +4

    very high quality and amazing lectures, thank you Prof!

  • @nitind9786
    @nitind9786 6 месяцев назад +1

    Terrific Lectures ... just bang on the target .. addresses all the issues which are a bit tricky to understand .. Amazin !.. Thanks a ton

  • @조의현-w9d
    @조의현-w9d 9 месяцев назад +1

    Thanks for sharing these amazing lectures!

  • @gabrielazevedo2628
    @gabrielazevedo2628 2 месяца назад +1

    On page 16 (around 38minutes):
    "The probability is non convex". I think the important thing is that the problem is non convex on Mu and sigma. It is true that P(x) is non-convex but this wouldn't be a problem if it was convex on mu/sigma while non convex on X.
    I got a little confused by the image that shows the mixture is non convex on the x axis and wanted to clarify if anyone also finds useful :) (and hope it makes sense)