339 - Surrogate Optimization explained using simple python code

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  • Опубликовано: 23 дек 2024

Комментарии •

  • @omarroidi7258
    @omarroidi7258 5 месяцев назад

    Thankx for the video. Can you please upload how to use the surrogate optimization for antenna model.

  • @SphereofTime
    @SphereofTime 2 месяца назад

    8:41 Acquisition function

  • @shammy2371
    @shammy2371 5 месяцев назад

    Sreeni ❤ Great video as always! Looking forward to more content from you.

  • @maddybhatt5552
    @maddybhatt5552 5 месяцев назад

    can we apply this for cnn??

  • @Anna-tz7hu
    @Anna-tz7hu 5 месяцев назад

    Excellent as always! I wonder if you could make a video on how to fine tune u-net. All the best!

  • @arungopinath1998
    @arungopinath1998 6 месяцев назад

    Thanks for the content. The timing of this tutorial is impeccable. I'm currently implementing a similar approach to optimize an experiment that is both time-consuming and expensive to conduct. My understanding is that in real life, we need to conduct the experiment with the suggested values, then update the data. We then rerun the process and repeat this cycle until a cutoff point is reached. Am I correct in this context?

  • @souryasengupta6390
    @souryasengupta6390 5 месяцев назад

    Excellent video. Please also upload Penalized least square with TV optimization problems for image reconstruction with methods like FISTA, ADMM . please

  • @ThiyamRomitaChanu
    @ThiyamRomitaChanu 5 месяцев назад

    dear sir i m following all ur videos it helps me a lot pliz make video on transUNet and DATransUNet paper

  • @NakulMali-j6d
    @NakulMali-j6d 5 месяцев назад

    Hell Sir Thanks for your all videos and efforts. I am following your channel, but I request you please upload one detail video on how to finetune Yolov5 model for custome images classification.

  • @apna_manch
    @apna_manch 6 месяцев назад

    ❤❤❤❤❤