Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
will make the cost function asymmetric: Whereas, in the case of normalized data, the scale will be the same and the cost function will also be symmetric: Normalizing the inputs makes the cost function symmetric. This makes it is easier for the gradient descent algorithm to find the global minima