Solved by ptrblck in post #2 
              
              
                The general approach is to use some data augmentation in your training so artificially create “new” samples of your data, and to use some “constant” pre-processing in your validation/test case. 
As you can see the training transformation has some random transforms, e.g. RandomResizedCrop, which is f…