Tag
automatic-differentiation
- Jun 15, 2026 Jacobian-Vector and Vector-Jacobian Products in Autodiff Why differentiation machinery never materializes a Jacobian, the cost rule that decides whether to sweep forward or backward, and how the same primitives produce exact Hessian-vector products. deep learning
- Sep 16, 2025 Reverse-Mode Differentiation on the Computational Graph How a recorded graph of elementary operations turns the chain rule into one reverse sweep, why values with several consumers force an accumulation, and where that sweep silently produces wrong gradients. deep learning