Update README.md

README.md

@@ -101,4 +101,5 @@ More about this type of network topology can be read here: https://gist.github.c
 ## Improvements
 * Future networks will have 3 additional input parameters one for each x,y,z of a unit vector for the ray direction from the icosphere index.
 * The unit vector used to train the network will just be the vertex normal from the 3D model but inverted.
-* When performing inference more forward-passes would need to be performed as some density of rays in a 30° or similar cone angle pointing to 0,0,0 would need to be performed per icosphere index position.
+* When performing inference more forward-passes would need to be performed as some density of rays in a 30° or similar cone angle pointing to 0,0,0 would need to be performed per icosphere index position.
+* This could lead to higher quality outputs.