How to Choose the Correct Initializer for your Neural Network

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  • Опубліковано 7 лис 2022
  • Vanishing/Exploding Gradients are two of the main problems we face when building neural networks. Before jumping into trying out fixes, it is important to understand what they mean, why they happen and what problems they cause for our neural networks. In this video, we will learn what it means for gradients to vanish or explode and we will take a quick look at what techniques there are in order to deal with vanishing or exploding gradients.
    Previous lesson: • What is Vanishing/Expl...
    Next lesson: • How to Choose an Activ...
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КОМЕНТАРІ • 6

  • @bbwy-gk6ky
    @bbwy-gk6ky 14 днів тому

    讲得真好!刚开始接触深度学习,感谢

  • @alreadyghosts7727
    @alreadyghosts7727 Рік тому +3

    How are there still only less than a thousand views? This series is like one of the greatest things on UA-cam.

    • @misraturp
      @misraturp  20 днів тому

      Feel free to share with your friends! :)

  • @nahuelpiguillem2949
    @nahuelpiguillem2949 20 днів тому

    you are a genius bro

  • @bay-bicerdover
    @bay-bicerdover Рік тому

    Belirttiginiz Glorot değişinti formülü Keras'a ait degil ama önemsiz bir ayrinti

  • @ayyoubm
    @ayyoubm 10 місяців тому