Catalog · Matrix Calculus for Machine Learning and Beyond Lecture 13 of 17 Lecture 6 Part 2: Calculus of Variations and Gradients of Functionals ← Previous Lecture 6 Part 1: Adjoint Differentiation of ODE Solutions Next → Lecture 7 Part 1: Derivatives of Random Functions ✓ Mark complete Materials Transcript (PDF) ↗ transcript