and then you can just mask out those pixels for the reconstruction here so there are multiple losses that you can use for the reconstruction objective one is one is you could use just a mean square error that you saw in the previous slide of diagnosing or encoder or one problem that's usually a common with the mean square error which was also mentioned in the Gant lecture is that they often tend to be blurry so because you don't want Larry reconstructions you actually want sharp predictions of all these missing pixels you can