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Perceptron equation for NOT Gate is :X 1 = [ 1 , - 1 ] t = [ - 1 , 1 ] Assume w

Perceptron equation for NOT Gate is :X $1 = [1, - 1]$ t $= [- 1, 1]$ Assume w $0 =$ w $1 = 0,$ Learning rate $=$ n $= 1 .$ Does the Perceptron learning algorithm converge?

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Perceptron equation for NOT Gate is :X 1 = [ 1 , - 1 ] t = [ - 1 , 1 ] Assume w

Perceptron equation for NOT Gate is :X1=[1,-1] t =[-1,1] Assume w0=w1=0, Learning rate =n=1. Does the Perceptron learning algorithm converge?

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Perceptron equation for NOT Gate is :X $1 = [1, - 1]$ t $= [- 1, 1]$ Assume w $0 =$ w $1 = 0,$ Learning rate $=$ n $= 1 .$ Does the Perceptron learning algorithm converge?