4. Implement AND function using McCulloch-Pitts neuron | Soft Computing Neural Network Mahesh Huddar
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- เผยแพร่เมื่อ 1 ก.ค. 2024
- 4. Implement AND function using McCulloch-Pitts neuron | Soft Computing | Artificial Neural Network | machine Learning Mahesh Huddar
The following concepts are discussed:
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Thanks for this video. The description from a book was confusing. This video cleared things up.
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Very nice explaination sir....thank you so much
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Thank you for the great explanation!
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Very well explained 👌👌
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sir thanku for your teaching
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Thankyou❤
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thank you
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super sir
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Good
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How can Mc Pitts neuron have weights??
Every Nerual Network has a weights which are connected to each other
Why the value of W=1? , the number of postive wieght is 2
I'm also confused
We asume that w1=w2=1 that's why we use W = 1 and if possible that w1=1 and w2= -1 then we can use p=1 but we can not go for these conditions that's why we consider p=0
@@MohitPawar1709 what about w1=1 and w2= 2 then value of w will be?
@@Phoenix-wr6rn l
in this case , i think some mistake in Lecture Video .
The weight should be
w1 = 1 and w2 = -1
so the threshold value is :
theta = 1
why truth table is upside down
does it really matter?
Thanks.
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kya bhai ashuthosh yha mil gya lagta hai