#differentiableprogramming

Learning fuzzy membership functions and inference rules automatically through gradient descent on soft circuits, instead of hand-crafting them.

What if fuzzy logic systems could discover their own rules? An interactive demo of differentiable fuzzy circuits that learn membership functions, rule structure, and rule existence, all via gradient descent.

A fact-based look at v0.9.8, 9,139 tests, 15+ hardware backends, and the only quantum-native...