Q367
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
AnswerD.
False - just having a single perceptron is enough
Answer: Option C
Solution
Answer: Option C
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