McqMate
| 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 |
| 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 enough |
| Answer» 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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