It is a principal question, regarding the theory of neural networks:
Why do we have to normalize the input for a neural network?
I understand that sometimes when for example the input values are non-numerical a certain transformation must be performed, but when we have a numerical input? Why the numbers must be in a certain interval?
What will happen if the data is not normalized?