• Course code:63546J
  • Credits:6
  • Semester: summer
  • Contents

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.

  • Study programmes
  • Distribution of hours per semester
45
hours
lectures
20
hours
laboratory work
10
hours
tutorials
  • Professor
Assist. Prof. dr. Ciril Bohak
Instructor
Room:R2.29 - Laboratorij LGM
details
Prof. dr. Matej Kristan
Course Organiser
Room:R2.57 - Kabinet
details