Automatic differentiation for CJC.
Provides forward-mode differentiation via dual numbers and reverse-mode
differentiation via a computation tape. Supports grad(), jacobian(),
and gradient graph construction for ML training loops.
Automatic differentiation for CJC.
Provides forward-mode differentiation via dual numbers and reverse-mode
differentiation via a computation tape. Supports grad(), jacobian(),
and gradient graph construction for ML training loops.