InterviewSolution
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InterviewSolution
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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(c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded(d) False – just having a single perceptron is enoughThis question was addressed to me in unit test.Asked question is from Neural Networks in section Learning of Artificial Intelligence |
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Answer» Right answer is (C) TRUE – perceptrons can do this but are UNABLE to LEARN to do it – they have to be explicitly hand-coded |
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