Implementation of OR Gate using perceptron Learning rule | Soft Computing Lecture Series

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  • Опубліковано 9 лис 2024
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КОМЕНТАРІ • 12

  • @govindgupta6581
    @govindgupta6581 4 роки тому

    Ha.. Sir jaldi completely kro video course

  • @avikmondal954
    @avikmondal954 Рік тому +3

    SIR, if we just take the bias=0, w1,w2=1, we will get the right answer without any back propagation. Isn't it?

  • @sanketsinha4560
    @sanketsinha4560 4 роки тому +1

    plzzz sir neural networks complete kaara dijiye completely before october,,,, Sir MCQ ka question bhi saath satth kaarate chaliye class me

  • @supershiva2331
    @supershiva2331 3 роки тому

    Really understandable

  • @supershiva2331
    @supershiva2331 3 роки тому

    So nice 👍👍👍sir.

  • @karthikr2186
    @karthikr2186 3 роки тому

    Sir thank you so much

  • @varnikgarg5406
    @varnikgarg5406 3 роки тому +1

    Sir agar w1=2 par bhi galat aa jati value toh w2=3 karte Kya?....Matlab galat aane par increment by 1 krenge Kya?

    • @harshitpathak5958
      @harshitpathak5958 2 роки тому

      its hit and trial approach , pehle hi calculations kar lo then take the weight accordingly

  • @anirbandas9590
    @anirbandas9590 2 роки тому

    Sir can we update the values of weights w1=w2= 1
    Bias= 1 and
    Threshold value
    y=1 if wx+b>1
    =0 if wx+b

  • @aayushipandey7393
    @aayushipandey7393 10 місяців тому

    Bias bhi to change kr skte hn b=0 weights to same rehne de