Update README.md

README.md

@@ -96,4 +96,9 @@ The basic premise of how this network is trained and thus how the dataset is gen
 * 1st input parameter = random seed
 * 2nd input parameter = icosphere index
 
-More about this type of network topology can be read here: https://gist.github.com/mrbid/1eacdd9d9239b2d324a3fa88591ff852
+More about this type of network topology can be read here: https://gist.github.com/mrbid/1eacdd9d9239b2d324a3fa88591ff852
+
+## 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.