Refactored gradient accumulation to use clearer two-step approach:
1. Remove extra leading dimensions (batch dims)
2. Sum over dimensions that were size-1 (broadcast dims)
Benefits:
- Clearer intent: while loop for variable dims, for loop for fixed dims
- Better comments with concrete examples
- Easier for students to understand broadcasting in backprop
- Matches how you'd explain it verbally
Same functionality, cleaner code.