In neural networks, what is the reason we use the regularisation term in error minimisation formula?

E * 2 * = 0x)? + plain error weight penalty elegant math simple math DE wy gradient Aw;* = -1.7.10 - )..(1 - )] + [1. Wix] learning rate signal