Why are linearly separable problems of interest of neural network researchers?
(a) Because they are the only class of problem that network can solve successfully
(b) Because they are the only class of problem that Perceptron can solve successfully
(c) Because they are the only mathematical functions that are continue
(d) Because they are the only mathematical functions you can draw
I had been asked this question in exam.
My question is taken from Neural Networks in chapter Learning of Artificial Intelligence