interpolated to version 2 and you can see how each bottom improvement axis on the x-axis added as far as the linear classification accuracy goes and basically Ln mr. layer nom in the clay layer nom helps a lot and you know like bu refers to like bottom-up predictions instead of just using top-down predictions which is basically saying that hey instead of just relating the bottom rows from the top why not do the other way and that also helps a lot augmentation that every single patches which is referred as PA that helps a lot