Catalog · Matrix Calculus for Machine Learning and Beyond Lecture 12 of 17 Lecture 6 Part 1: Adjoint Differentiation of ODE Solutions ← Previous Lecture 5 Part 3: Differentiation on Computational Graphs Next → Lecture 6 Part 2: Calculus of Variations and Gradients of Functionals ✓ Mark complete Materials Transcript (PDF) ↗ transcript