Lesson 19: Deep Learning Foundations to Stable Diffusion

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  • Опубликовано: 2 окт 2024

Комментарии • 11

  • @rjScubaSki
    @rjScubaSki Год назад +4

    Greek letters for identifiers are a pointless distraction imo - the alternative isn't spelled out greek letter names, but meaningful names. "For coders" ...

  • @scottnewcomer1835
    @scottnewcomer1835 Год назад +3

    I love the way Tanishq described the forward pass. Good on ya! ruclips.net/video/ItyO8s48zdc/видео.html

  • @faqeerhasnain
    @faqeerhasnain Год назад +5

    Love Jeremy so much,Thank You

  • @timandersen8030
    @timandersen8030 Год назад +2

    Why is the coding implementation for sampling of x_t-1 is different @1:06:25 from the algorithm 2 for sampling mentioned in the paper @53:50 ??

  • @giorda77
    @giorda77 Месяц назад

    Thank you Jeremy, Tanisqh and Jono I appreciate you guys for this lesson

  • @michaelmuller136
    @michaelmuller136 9 дней назад

    Very interesting, thank you very much!

  • @deepschoolai
    @deepschoolai Год назад

    46:03 I might be wrong here, but I don't think sigma is sqrt of beta. It is the square root of beta tilde which is NOT the value that has linearly spaced values. Getting this from section 3.2 of the DDPM paper.

    • @laugh_n_share_life
      @laugh_n_share_life Год назад +3

      you are correct, this lecture was below their normal standard

    • @deepschoolai
      @deepschoolai Год назад +4

      @@laugh_n_share_life whoa, that is certainly not what I'm saying here. Just a simple question

  • @deepschoolai
    @deepschoolai Год назад +3

    Does the course dive deeper into the architecture of the Unet model. I feel there's a lot of intricacies we are missing out on there.

  • @SandeepSinghPlus
    @SandeepSinghPlus Год назад +1

    I cannot find DDPM notebook in diffusion-nbs repo? Can somebody past the link for the same?