Question:
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 |
Note: |
The above multiple-choice question is for all general and Competitive Exams in India. |