Why do we Randomly Initialize Weights in Neural Networks?

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  • Опубликовано: 27 окт 2024

Комментарии • 10

  • @KatzeMelli
    @KatzeMelli 3 года назад +1

    that helped a lot. Been trying to figure out what the hell the weights are for, and why we randomly choose them

  • @minhaaj
    @minhaaj 3 года назад

    one of the best tutorials i have come across. Do more of it. make tensorflow tutorial also.

    • @JamesOliver
      @JamesOliver  3 года назад

      Appreciate the kind words. I would definitely like to make more Tensorflow tutorials! Thanks for watching

  • @niranjanamurthibe9485
    @niranjanamurthibe9485 5 лет назад +1

    very good tutorials. Please upload all neural network and spiking neural network videos. Thanks

    • @JamesOliver
      @JamesOliver  5 лет назад +1

      Spiking Neural Networks is a good suggestion.

  • @majestro4077
    @majestro4077 4 месяца назад

    do we also need to add weights on the hidden layers? all of them? or only the weights of the input

  • @aakashdewangan7313
    @aakashdewangan7313 4 года назад +1

    Your all video on NN are awesome , but I didn't get what u were trying to say in this video....

    • @JamesOliver
      @JamesOliver  4 года назад +1

      Just trying to give intuition behind why you must randomly initialize weights in a neural network and what would happen if you did not. Perhaps not one of my best videos. haha.

  • @sreekanthsreekanth4407
    @sreekanthsreekanth4407 4 года назад

    Awesome video

  • @swaralipibose9731
    @swaralipibose9731 4 года назад

    Small but 10/10