PyTorch Gradients 101: A Beginner's Guide to the Basics

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  • Опубликовано: 7 сен 2024
  • Unlock the power of PyTorch gradients with our beginner-friendly tutorial! 🚀 Whether you're new to PyTorch, deep learning, or coding in general, this step-by-step guide is designed to demystify the world of gradients
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Комментарии • 5

  • @RyanAndMattDataScience
    @RyanAndMattDataScience  Месяц назад

    Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!
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  • @inotterwords6115
    @inotterwords6115 Месяц назад

    Thank you for making this video!
    That said, I personally came to this video hoping for an explanation of these terms (for example, "What is a gradient"?). I'm afraid after going through this video I still don't understand what a gradient is (or why, for example, the evaluation of the function Y needs to be accessed by accessing the gradient of X).

  • @manigandanparamasivam4420
    @manigandanparamasivam4420 9 месяцев назад

    Why do we use gradient mainly can someone explain

    • @RyanAndMattDataScience
      @RyanAndMattDataScience  9 месяцев назад +3

      Gradients are used for when we want to optimize our model, they help with adjusting parameters

    • @manigandanparamasivam4420
      @manigandanparamasivam4420 9 месяцев назад

      @@RyanAndMattDataScience thanks for the reply man I really appreciate it ❤️