2 AND GATE Perceptron Training Rule | Artificial Neural Networks Machine Learning by Mahesh Huddar 

Best explanation for the algorithm for logic gates using SLP

crystal clear....good work sir

Thankyou so much ✨ i understood it so well ! God bless you sir 🙏🏻

Thank you soo much for this video explained very well

Sir, How we choose the threshold value?

Thank you so much! This was so helpful =)

amazing work sir

Thanks for your valuable video. I had a question, why you didn't consider w0 or bias term in your calculations?

Sir, I am confused between AND gate & AND function

is this w1 w2 given in question or to be assumed

how is threshod value chosen?

sir why bias was not taken please clarify me

Sir the W1 and W2 is constant or given in the question

Hi sir, i have the same question except my start w1 and w2 both values are 2 and i found optimal final w1,w2=1 I solved my problem just as you but i am still not sure, can you tell me did i solve right?

Sir, how we choose the threshold here?

Sir why can't you take directly w1 has 0.7.

W1,W1,threshold, learning rate kya ques me Diya hua rahega?

thanks sir, better than university teaching😅

where is the bias

jazakAllah ❤️❤️

And why we are assuming w1 and w2 has 0.6

tnx

thank youuuuuuuuuuuuuuuuuuu

Can u upload for xnor a sir

3:32 w2=0.1

damnnn so it was easyyyy

How did u got the values of w1 , and w2 ?

any example on NOR and NAND

Seriously used the Python xor instead of ‘&’ ?

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