Knowing your data really counts. For example in a digit recognition program, if you know that the color of the digit does not matter, then what will be easy for the classifier to learn? The greyscale digits or the colored digits ?
Fig. What will be easy for classifier, colored / grreyscale image , when color does not matter?
REF : Udacity Deep Learning