is something that actually kind of had been classic in in in in deep machine learning under the heading of representation learning so we basically want to somehow have a compact representation of an input image and we want to compute this representation maybe without any labels and the kind of classic way to do this is what's called an out encoder which says let's have a representation that is small okay so there is a bottleneck here but that if we unpack it and compress it we can reconstruct the original input okay and