Implementation of AND function using Perceptron Model

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#machinelearning #perceptron #ai #artificialintelligence #neuralnetworks
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Important Correction: Activation Function for this video is defined as:
if y(in)> 0 : then f(y(in)) is 1
if y(in) = 0: then f(y(in)) is 0
if y(in) < 0: then f(y(in)) is -1

ThinkXAcademy
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that was the best teaching of perceptron that I have ever seen. thank you so much.

fatemehiraf
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I think value-Predicted value)*feature

but u gave it directly expected value.

kanduladinesh
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In 2nd iteration table you have written x1=1, x2=1, t=-1 but it should be x1=1, x2=1, t=1.

wfkpk
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Clear, informative explanation...I like it👍 I was wondering though, does the ordering of the input layer affect the overall turnout? In terms of shifts and overall adjustments

gqtshapha
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The formula for Δw is a(target - output)xi, in this video your formula is atxi ?

TheIntervurt
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@7:25, you didn't tell about value of sigmoid function in perceptron learning algo., not even y = f(yin), How can you assume that we know it already..

rohan
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Sir, how will be the truth table for logical nor for bipolar inputs ? Is it done same way as binary just that we consider 0 to be -1 ?

ishag
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thank you brooo
the condition u used in this prob f(yin) is McCulloch Pitts bro

rajershimeesala
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Hi sir, for the inputs 1, 1 we should get 1 only right. In the first iteration if we update the weights earlier then we will get Y=1.

maheshh
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Hi great video, I have a question: why you don't use backward propagation algorithms ? and sigmoid function is 1/(1+e^-x), did you round this function ?

computervisionlab
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In 4th time of 1st iteration my w1=2, w2=2 & b(new)=-2. Please check it once, & correct me if i am wrong, Thank you

rohan
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Hi bro I think In the first iteration and last 4 input the values of Delta w1, delta w2, delta b, w1, w2 and b are not correct. My values are 1, 1, -1, 2, 2 and -2 respectively comming plz Guide me

MuhammadIrfan-nfpb
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sir, since u have used the activation fn which classifies the out either 0 or 1, so how did u get -1 as output (y)?

sshahidmalik
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in the second iteration for input 1 the target is -1 but I guess it should be 1 and will our perceptron performs it right???

balidinesh
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How you write on screen its amazing pless tell.

abhishekdubey
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What is the terminology for ALPA and T in this perceptron Model

sasidharreddykatikam
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is it complsory to use formula to update the weights and bias? or can we assume it by our own

smritidhurandhar
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i think you write wrong the target value in second iteration in input 1 only by those target value affects all the change in weight and updated weight

PrashantSingh-gbkf
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How to compute iteration 2 and what are the conditions

palvaisaiprasanna
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