7. Design a Hebb net to implement logical AND function Soft Computing Machine Learning Mahesh Huddar

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  • Опубликовано: 18 ноя 2024

Комментарии • 18

  • @bongugopichand7108
    @bongugopichand7108 Год назад +19

    no Hebb rule explanation in your playlist..So i couldnt understand this video

  • @laurynmafo9815
    @laurynmafo9815 Год назад +5

    very good explained i could do the rest alone and obtained the same results. thaks very much

    • @MaheshHuddar
      @MaheshHuddar  Год назад +2

      Welcome
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  • @PRAVEENKUMAR-wg1go
    @PRAVEENKUMAR-wg1go Год назад +2

    Excellent explanation brother

  • @theeduhub178
    @theeduhub178 Год назад +3

    sir where is the theory of hebbs rule?

  • @rajbhushan3541
    @rajbhushan3541 Год назад

    Tell me how is this logical and implementation?

  • @ChandanAkbarpuria
    @ChandanAkbarpuria 2 года назад +1

    Thank you sir

    • @MaheshHuddar
      @MaheshHuddar  2 года назад +1

      Welcome
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  • @FARHANKHAN-oe6mv
    @FARHANKHAN-oe6mv Год назад

    Nice explanation ❤

    • @MaheshHuddar
      @MaheshHuddar  Год назад

      Thank You
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  • @fathimanoula7726
    @fathimanoula7726 11 месяцев назад

    Why is the training data written upside down? Can't we start with (0,0) then (0,1).....(1,1)?

    • @MaheshHuddar
      @MaheshHuddar  11 месяцев назад +1

      Both will work

    • @fathimanoula7726
      @fathimanoula7726 11 месяцев назад +1

      @@MaheshHuddar but won’t that give a different answer?

    • @th3kdot
      @th3kdot 9 месяцев назад

      @@fathimanoula7726the lower value is inhibitory so it doesn’t matter, he can use zero or -1 he’d just have to adjust the value at which the neuron fires.

  • @manikumar9281
    @manikumar9281 8 месяцев назад

    thanks sir

    • @MaheshHuddar
      @MaheshHuddar  8 месяцев назад

      Welcome
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  • @komalprasadsahu6617
    @komalprasadsahu6617 Год назад

    perfecto