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.

Group of answer choices

true $$ perceptrons can do this but are unable to learn to do it $$ they have to be explicitly hand$-$coded

true $$ this works always, and these multiple perceptrons learn to classify even complex problems.

false $$ perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do

false $$ just having a single perceptron is enough