3. OR GATE Perceptron Training Rule | Artificial Neural Networks Machine Learning by Mahesh Huddar
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- เผยแพร่เมื่อ 5 พ.ย. 2020
- 3. OR GATE Perceptron Training Rule | Artificial Neural Networks Machine Learning by Mahesh Huddar
Perceptron Training Rule for Linear Classification - • 1. Perceptron Trainin...
OR GATE Perceptron Training Rule - • 3. OR GATE Perceptro...
AND GATE Perceptron Training Rule - • 2 AND GATE Perceptro...
Machine Learning - • Machine Learning
Big Data Analysis - • Big Data Analytics
Data Science and Machine Learning - Machine Learning - • Machine Learning
Python Tutorial - • Python Application Pro...
the best tutorial for the Perceptron Training ! , respect 10000000000%
using the w1 = 1 and w2 = 1 can also work. Does the weights have to be exactly like yours
hi Dear Sir,
we r phd students in Iraq
we study on ur videos, because of u we understand the machine learning algorithms, thank u so much
I pass the exam depending on ur explanation.
God bless you
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Respected sir, Bias(b) has not been mentioned in this question...I have another formula of yin= b+x1w1+x2w2...What will I take b here?
1
Bias will be taken in formula & then [ b(new ) = b(old) + learning rate * target ] must be taken & calculation will be in very different way, not as in the video.
baise we take to reduce complexity in solving question in andgate question the iteration goes and goes and it never end so just to reduce iteration we use baise .
really very useful..Tghank you mahesh sir
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what if 3 weight is given
@MaheshHuddar sir, if the bias is also given, Should we update the bias also in perceptron?
Yes you have to update the bias
Sir your lectures are the best but make the whole syllabus sir of machine intelligence
@@MaheshHuddar sir are you planning to cover this syllabus or not
@@MaheshHuddar sir I have sended the syllabus right this is the link for the syllabus drive.google.com/file/d/1OdA8aoC3QDF_Cyrgj1cjeo6T_r3_F92D/view?usp=drivesdk
And I have mailed it also
@@MaheshHuddar make on big data also sir I will send the syllabus through mail sir
Thanku sir❤
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Thanks
@@MaheshHuddar for sure sir.
THANK YOU SIR
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Sir how the output is 0 since there is only two possible output, 1 if the value is greater than threshold and -1 otherwise
Same Question, i want to ask.
hello, how to get that threshold value? :)
@@MaheshHuddar Alright, noted. Thankyou sir :)
@@MaheshHuddar if our question gives us activation function =0.2, can we use this value as a threshold?
May god bless u sir for such easy explanations ...👌👌
Thanks a lot
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@@MaheshHuddar sure sir ...
can we take any weights or not??
th-cam.com/video/xJio81x7gnE/w-d-xo.html
Check this one
I also thinking about calculation of weights, but this video clear my misconceptions
very good learning
Thank You
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Great sir 👍 thank you very much
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is the learn rate for A and B must be the same?
@@MaheshHuddar oh, I see.. thanks for clarifying that sir.
why did we choose w1 = 0.6 why any other numbers ???
th-cam.com/video/xJio81x7gnE/w-d-xo.html
Check this one
I also thinking about calculation of weights, but this video clear my misconceptions
How to calaculate weights please
th-cam.com/video/xJio81x7gnE/w-d-xo.html
Check this one
I also thinking about calculation of weights, but this video clear my misconceptions
@@malivinayak I passed the subject thank you
Why didn't we consider the bias in this example?
I think we took bias as 0
See in formula we have assumed x0 = 1 but we are starting from x1 because (as far as I think....) we might have taken w0 = 0
Please correct if I'm wrong
u are bestttttttttttttt
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@@MaheshHuddar sir, if the bias is also given, Should we update the bias also in perceptron?
Yes
How you take weight on initial
Creme de la creme
Thank You
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