at extracting, sort of like, edge-like information. Meaning that, for example, if you combine different kinds of horizontal edges, we might get a continuous line that resembles the retinal blood vessels. And as you combine more of those and start to encode more higher-level concepts such as, you know, is there a micro-aneurysm here, is there bleeding over here, is there other lesions in the image? And right at the very end is where these, after these multiple layers, the network will try to then condense all of that information down into a final prediction.