Pytorch vs TensorFlow vs Keras | Which is Better | Deep Learning Frameworks Comparison | Simplilearn

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  • Опубликовано: 28 июн 2024
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    With the Deep Learning scene being dominated by three main frameworks, it is very easy to get confused on which one to use? In this video on Keras vs Tensorflow vs Pytorch, we will clear all your doubts on which framework is better and which framework should be used by beginners, intermediates, and professionals.
    The topics covered in this video are :
    00:00:00 What is Keras, Tensorflow and Pytorch?
    00:05:27 Differences between Keras, TensorFlow and Pytorch
    00:11:46 Which framework should you use?
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Комментарии • 25

  • @SimplilearnOfficial
    @SimplilearnOfficial  11 месяцев назад +2

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  • @techw4y
    @techw4y 2 года назад +38

    Keras is typically used with TF and hence not comparable directly. TF 2.x is much simpler to use especially with Keras. Pytorch has a different approach and more intuitive for programmers due to imperative programming style.

    • @SimplilearnOfficial
      @SimplilearnOfficial  2 года назад +2

      Thanks for watching our video and sharing your thoughts. Do subscribe to our channel and stay tuned for more. Cheers!

  • @berkceyhan5031
    @berkceyhan5031 Год назад +2

    Amazing video! Thanks

    • @SimplilearnOfficial
      @SimplilearnOfficial  Год назад

      Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.

  • @KSChong
    @KSChong 2 года назад +4

    this video is simply excellent.

    • @SimplilearnOfficial
      @SimplilearnOfficial  2 года назад +1

      Hey, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)

  • @paulntalo1425
    @paulntalo1425 3 года назад +4

    Thank you for a sincere review

  • @rudinasubaih
    @rudinasubaih 3 года назад +11

    Thanks!! I have a question, you said in the last part first that PyTorch is preferred for researchers then you said "if you do research type of work, then use TensorFlow". I'm confused about which to work within research. If I want to modify the structure for a state-of-the-art model such as LSTM which is better to use?

    • @messiahjordy1018
      @messiahjordy1018 2 года назад

      you all prolly dont care but does anyone know a method to get back into an instagram account?
      I was dumb lost the password. I would love any tips you can give me

    • @techw4y
      @techw4y 2 года назад +2

      Many contradictions, including on debugging. its just read from a script! Researchers tend to experiment more with new features and in such cases TF 2.x is better according to me.

    • @bruhm0ment767
      @bruhm0ment767 2 года назад

      think for research, just TF would make sense.

    • @bruhm0ment767
      @bruhm0ment767 2 года назад

      @@messiahjordy1018 "forgot password" ?

  • @bruhm0ment767
    @bruhm0ment767 2 года назад +4

    thanks for the video, just realised i was doing the wrong framework all this time, being a newbie.

  • @markadyash
    @markadyash 3 года назад +2

    the most awaited video i got

  • @shreeramshankarpattanayak7409
    @shreeramshankarpattanayak7409 6 месяцев назад +1

    Great video !

    • @SimplilearnOfficial
      @SimplilearnOfficial  6 месяцев назад

      Thank you for choosing us as your learning partner. We are thrilled to hear that you enjoyed your experience with us! If you are looking to expand your knowledge further, we invite you to explore our other courses in the description box.

  • @AvinashSingh-vj3rk
    @AvinashSingh-vj3rk 3 года назад

    Nice

  • @Hoshikani
    @Hoshikani 11 месяцев назад +1

    what language is this? i hardly distinct a word

  • @vinaybanka3601
    @vinaybanka3601 Год назад +2

    Love this video @Simpilylearning

    • @SimplilearnOfficial
      @SimplilearnOfficial  Год назад

      We are delighted to have been a part of your learning journey! If you want to continue honing your skills and keeping up-to-date with industry trends, check out our course offerings in the description box.