Deep learning fundamentals: What is regularization? Why does it work?

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  • Опубліковано 11 січ 2025

КОМЕНТАРІ • 9

  • @misraturp
    @misraturp  2 роки тому

    🤔 Curious about deep learning?
    Start with the Fundamentals of Deep Learning booklet to learn the essentials in 25 pages
    misraturp.gumroad.com/l/fdl

  • @jorgesanabria6484
    @jorgesanabria6484 Рік тому +1

    Your videos and explanations are absolutely brilliant. You along with Andrew NG is a recipe for success.

  • @sanjeevraj5253
    @sanjeevraj5253 3 роки тому

    your explanation is reasonably good. I am novice in data science please upload a full course on data science.

    • @misraturp
      @misraturp  3 роки тому +1

      Hey there, you can find my courses on data science here: www.soyouwanttobeadatascientist.com/roadmap

  • @cafedreamboy
    @cafedreamboy 4 місяці тому

    But when features are more like the problem i am facing is to train an ANN model for credit card fraud transactions but unable to go beyond 81 or 82 percent precision and recall rate but random forest simply has given 97 or more precision and recall rate...i have tried l1, l2, drop out, weights and now looking for stacked model but these techniques of l1, l2 and dropout are useless

  • @andrew.sandler
    @andrew.sandler Рік тому

    Thank you! Also the ADHD in me but your books look super interesting

  • @wut4100
    @wut4100 8 місяців тому

    Banger, thanks

  • @prashu25925
    @prashu25925 2 роки тому

    Glued to your channel