Implement the perceptron rule training of the network using f(net) = sgn (net), c = 1, and the following data specifying the initial weights w', and the two training pairs W¹ = 1 X₁ = [ 2 1 , d₁= -1, X₂= El d₂= 1, Repeat the training sequence (X₁, di), (X2, d2) until two correct responses in a row are achieved. List the net values obtained during training. (use a binary activation function), fast
Implement the perceptron rule training of the network using f(net) = sgn (net), c = 1, and the following data specifying the initial weights w', and the two training pairs W¹ = 1 X₁ = [ 2 1 , d₁= -1, X₂= El d₂= 1, Repeat the training sequence (X₁, di), (X2, d2) until two correct responses in a row are achieved. List the net values obtained during training. (use a binary activation function), fast
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following data specifying the initial weights w', and the two training pairs
W¹ = 1
2
- x = [
X₁
1
0
-El.
, d₁= -1, X₂=
d₂= 1,
Repeat the training sequence (X₁, di), (X2, d2) until two correct responses in a row are achieved.
List the net values obtained during training. (use a binary activation function),
pls solve fast
AI"
Transcribed Image Text:Implement the perceptron rule training of the network using f(net) = sgn (net), c = 1, and the
following data specifying the initial weights w', and the two training pairs
W¹ = 1
2
- x = [
X₁
1
0
-El.
, d₁= -1, X₂=
d₂= 1,
Repeat the training sequence (X₁, di), (X2, d2) until two correct responses in a row are achieved.
List the net values obtained during training. (use a binary activation function),
pls solve fast
AI
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