Skip to content

Latest commit

 

History

History
21 lines (15 loc) · 559 Bytes

File metadata and controls

21 lines (15 loc) · 559 Bytes

IGI 3013 is an academic lesson on optimisation

Note : Some Labs are not yet finish, it is an ongoing work

The goal is to work on function optimisation and discover AI principle.

image

Content of the course :

  • Differentiable optimization
  • Gradient descent
  • Constrained optimization
  • Geometric optimality
  • Orthogonal projection
    • L1-ball
    • Hypersphere

Package used :

Numpy / autograd / mathplotlib