RI
RM
Differentiable programming
This course covers differential programming principles and techniques used in various fields like machine learning, computer vision, graphics, physics simulation, and scientific computing. Topics include program differentiation, optimization, and techniques like backpropagation and automatic differentiation. Also, differentiable physics and rendering, solving partial differential equations using neural networks, and differentiable convex optimization.