2. Implementation of AND function using PERCEPTRON model | Artificial Neural Networks

Dr. Krishan Kumar, Gurukul Kangri University

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This video covers the step by step explanation of implementation of AND function using PERCEPTRON model. The implementation of AND function using perceptron model is useful in understanding other problems related to linear separability like OR implementation.
(Single layer perceptron model/perceptron example/ logic and gate implementation using perceptron neural networks/ logic gates implementation using neural networks)
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11 сен 2018

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Комментарии : 96

@MMadni-ke9nw 5 лет назад

For Perceptron topic this is the best video Thanks sir

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@technoedutech3990 5 лет назад

This is very helpful sir g...

@devendrasoman6404 Год назад

Thank you sir! Great explanation

@harshvardhan8280 Год назад

Thank you so much sir for this nice video lecture in neural networks 🙏

@alidakhil3554 4 года назад

The subject is wonderful, and !! Your hand writing on board is fabulous

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@parthdandawate7245 2 года назад

Great Explanation keep making such videos sir thank you sir

@pareenapadwal9105 3 года назад

This was very helpful... Thank you :D

@shabanarp6116 5 лет назад

best explanation ever seen for perceptron..

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@harshvardhan8280 Год назад

It helped me a lot to understand about labelled data

@singhamitgkv7709 4 года назад

Verry usefull vedio for understand deep knowledge of perceptron model.

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@rajdeepsingh-ij6hi 5 лет назад

excellent

@darshanruikar4234 4 года назад

best video best explanation

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@devanshi4130 2 года назад

Excellent explanation thank u

@nitishmc6929 3 года назад

Very good explanation Sir 👍🙏

@vinayakumarsethi9240 2 года назад

Nicely explained.

@rakshitmittal5845 5 лет назад

very well explained...best video of perceptron

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@LakkojuHemanth 9 месяцев назад

nice explained thank you so much sir no words are coming to praise your efforts sir 😄😄😄😄😄

@mango-strawberry Месяц назад

great explanation

@satyamkumar521 5 лет назад

best explanation sir............

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@mohitbhatta4046 3 года назад

After watching this video I subscribed to your channel sir ! Very good explanation ❤️ keep going

@dr.krishankumargurukulkang1074 3 года назад

Thanks for kind your support..

@anonymousperson7054 Год назад

nice explain . plz add more examples of it

@jeeteshsingh5747 3 года назад

Very well Explained. Helped me! Thank you sir.

@dr.krishankumargurukulkang1074 3 года назад

Glad to hear that

@beater_y363 3 года назад

True that!

@lakshmiswarupa4375 4 года назад

excellent sir

@roshanantony 3 года назад

Thank u sir!

@balunqui1126 4 года назад

Thank you sir..

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@vandanathakur7511 5 лет назад

Good one

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@shivamsharma1000 2 года назад

Very well explained sir. It really helped me.. Thank you so much sir for this video.

@dr.krishankumargurukulkang1074 2 года назад

thanks

@dr.krishankumargurukulkang1074 2 года назад

Thanks for complement. Please watch my next video on implementation of backpropagation networks on or before 6-Dec-21.

@md.mamunurrashed9802 4 года назад

Sir it helps me a lot!!

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@singhpankaj7330 4 года назад

thank you very much sir ...please upload more videos....

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much I will soon upload more videos

@examvidya2192 3 года назад

Thanks sir

@santoshkumar4041 5 лет назад

Very helpful...

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@moosajatt219 4 года назад

easy to understand 👌

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@T7GHONEY 2 года назад

Nice lecture

@whogauravmishra 4 года назад

What will be the learning rate value in Matlab program of this implementation?

@faizaomer5737 4 года назад

Well explained 👌

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@coffeewithconcepts862 5 лет назад

Thnk you sir

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@RajVerma-mc2pj 4 года назад

Great sir

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@ritikarathi9487 2 года назад

Very helpful sir

@dr.krishankumargurukulkang1074 2 года назад

Thanks

@TheIntervurt 3 года назад

For Δw you use the formula atxi, shouldn't it be a(target-output)xi ?

@akashrathod3995 4 года назад

Learning rate alpha is everytime 1 or is change ?

@bhaskarkumar8146 2 года назад

Thanks sir nice explain I am also student of gurukul kangri

@dr.krishankumargurukulkang1074 2 года назад

Thanks

@prabhakaranb6782 5 лет назад

Is there any learning to predict the weights exactly in the first turn itself.....by using decision separate line?????

@aayushshrestha1655 3 года назад

Nope. Then there wont be any LEARNING. these are essentially LEARNING TECHNIQUES so the network has to learn to get the ouput.. For doing that its important to follow these steps

@javdanjavdan9108 3 года назад

عالی

@chitralalawat8106 5 лет назад

Great😎

@dr.krishankumargurukulkang1074 4 года назад

Thank you very much

@madhvendrasingh806 Год назад

❤️👍

@dr.krishankumargurukulkang1074 Год назад

Thanks

@metasebiyabizuneh368 3 года назад

Sir, thanks to the brief explanation. But I don't understand what the ephoch 2 is. How do we find everything on epoch 2?

@dr.krishankumargurukulkang1074 3 года назад

Values of Epoch 2 has been written directly but can be calculated like epoch 1 which I have explained in this video.

@ShashankDiwakar-vw4dq 7 месяцев назад

@@dr.krishankumargurukulkang1074 are sir lekin kaise calculation krenge yahi to pucha

@DeepakKumar-ee5up 7 месяцев назад

After third input pattern the value of Yin should be 1

@nikhilparihar9922 Год назад

In the second input we took bias eqauls to 0 but how Because the previous bias was 1

@dr.krishankumargurukulkang1074 Год назад

I will get back you soon and thanks for query.

@ravisankar2086 4 года назад

Hi sir, your explanation is superb sir. I need one help for the neural networks please suggest me text book

@dr.krishankumargurukulkang1074 4 года назад

Zacek M Zurada

@aayushshrestha1655 3 года назад

Sir please can you do using this method for OR gate too. You've explained brilliantly.. For OR logic im getting final weights and bias as. w1=1. w2=1 b=1

@dr.krishankumargurukulkang1074 3 года назад

Please apply the same for OR gate too. The method is almost same. You just try it, if face any problem kindly let me know.

@aayushshrestha1655 3 года назад

@@dr.krishankumargurukulkang1074 okay sir. Thank you ♡

@tusharkumar9455 2 месяца назад

can someone please tell me how second EPOCH has been calculated .. tomorow is my exam please help...

@ananya_sinha050 3 года назад

Where is for or function??

@mishraw Год назад

i love u

@vengeance1424 Год назад

Sir why and when should we take epoch 2!! Please reply

@dr.krishankumargurukulkang1074 Год назад

To get final weights we take more epochs. Our main aim in neural networks is to get final values. Once saturation is there in values we stop.

@vengeance1424 Год назад

Sir so the when the y values and target values become equal then we stop doing further procedure. Right sir??

@vinitraj6268 2 года назад

Can we start by taking x1 = -1 , x2 = -1 and target= -1

@dr.krishankumargurukulkang1074 2 года назад

Yes; but in all epochs same sequences to be followed

@yarlagaddapurna1631 3 года назад

Sir,can u make videos on THESE sir ,i have exam in this week KLUNIVERSITY STUDENT SIR ARTIFICIAL INTELLIGENCE IS MY SUBJECT SIR , 1.demonstrate how an XOR function CAN BE REALIZED USING AND gate and an OR GATE ,SUBSEQUENTLY DESIGN A SUITABLE MULTILAYER PERCEPTRON WHICH CAN implement this XOR function 2.design a suitable perceptron which can be used to realize a 4 input logical AND gate 3.design a suitable perceptron which can be used to realize a 4 input logical OR gate 4.

@dr.krishankumargurukulkang1074 3 года назад

okay

@yarlagaddapurna1631 3 года назад

@@dr.krishankumargurukulkang1074 give me ur number sir

@yarlagaddapurna1631 3 года назад

@@dr.krishankumargurukulkang1074 i have exam in 1 week of january sir