Why Neural Networks Fail on Constraints and why Lagrangian Geometry works better
Exploring why standard neural networks struggle with strict constraints and how Lagrangian geometry provides a more principled approach to obedience rather than approximation.
#Machine Learning#Mathematics#Optimization#Neural Networks