Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.

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Q. Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.

(A) true – this works always, and these multiple perceptrons learn to classify even complex problems

(B) false – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do

(D) false – just having a single perceptron is enough

Correct Answer - Option(C)
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Q. Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.

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