Perform two training steps for the network as shown in figure given using the perceptron learning rule. Assume the training data [2] X2 = |2 X1 = |1 di =0 d2 =1 And the initial weight vector w1 = with...

Perform two training steps for the network as shown in figure given using the<br>perceptron learning rule. Assume the training data<br>[2]<br>X2 = |2<br>X1 = |1<br>di =0<br>d2 =1<br>And the initial weight vector w1 =<br>with learning constant c = .5<br>ipi<br>ip2<br>net<br>f(net)<br>ip3<br>AW<br>d,<br>Learning<br>Signal<br>

Extracted text: Perform two training steps for the network as shown in figure given using the perceptron learning rule. Assume the training data [2] X2 = |2 X1 = |1 di =0 d2 =1 And the initial weight vector w1 = with learning constant c = .5 ipi ip2 net f(net) ip3 AW d, Learning Signal

Jun 10, 2022

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Perform two training steps for the network as shown in figure given using the perceptron learning rule. Assume the training data [2] X2 = |2 X1 = |1 di =0 d2 =1 And the initial weight vector w1 = with...

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