I am taking a course in Machine Learning and the Professor introduced us to the XOR problem.
I understand the XOR problem is not linearly separable and we need to employ Neural Network for this problem.
However, he mentioned XOR works better with Bipolar representation(-1, +1) which I have not really understand.
I am wondering what Bipolar representation would be better than Binary Representation? Whats the rationale for saying so?