To see the importance of data pre-processing, in particular data normalization, as well as weight initialization, experiment with logistic regression applied to classification problems. Generate your own artificial datasets. Apply logistic regression with both normalized or unnormalized data, as well as with weights that are initialized to small or to large values. Plot the training error as a function of training epoch.