(a) A single layer perceptron neural network is used to classify the 2 input, logical gate...

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(a) A single layer perceptron neural network is used to classify the 2 input, logical gate NOR shown in figure Q4. Using a learning rate of 0.2, train the neural network for the first epoch. use a limiting function: X₁ W₁=0.2 W₂=0.3 Xo= 1 (1 if y(i) > 0 9 (x₁) = = lo other wise Wo= -0.2 Σ Y(i) 9 (i) Output Figure Q4 [15 marks] (b) Discuss the importance of applying feature extraction techniques to Artificial intilligence0. [5 marks] (a) A single layer perceptron neural network is used to classify the 2 input, logical gate NOR shown in figure Q4. Using a learning rate of 0.2, train the neural network for the first epoch. use a limiting function: X₁ W₁=0.2 W₂=0.3 Xo= 1 (1 if y(i) > 0 9 (x₁) = = lo other wise Wo= -0.2 Σ Y(i) 9 (i) Output Figure Q4 [15 marks] (b) Discuss the importance of applying feature extraction techniques to Artificial intilligence0. [5 marks]

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