Solved by Nikronic in post #2 
              
              
                Hi, 
Normalization is some kind of transformation, let’s say your data contains weights of humen then if you train your model with normalized data, model learns to predict for instance using input in range of [-1, 1] and it also predict in a range similar to that.  Then if you test your model using …