Conisder the following single layer trained neural network. Input nodes X₁- X₂- Y = f(Σ,w₁X₁ +t>0) where f(z)={ C. ifz is true C otherwise 0 1 1 0 0 1 0 Assigne class labels to the following test data set: X₁ X2 X3 Y 0 0 0 0 0 1 1 1 1 1 0 1 1 1 - Black box W₁=0.2 W₂=0.2 W₂= -0.5 Σ|- t=0.2 Output node Y
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