StarostinV / animated-lectures

A series of animated lectures on ML applications as a part of the course on the experimental methods in Scattering Physics

Animated lectures on ML in Scattering Physics

A series of university lectures on ML and applications in Scattering Physics that I prepared and gave during my PhD. Animations are created via manim library and Jupyter widgets.

Examples of the animations

Training NN for solving inverse problem in Reflectivity

NN_train.mp4

GIWAXS geometry

GIWAXS.geometry.mp4

NN intro + simplified illustration of the universal approximation

NN.mp4