Deep Learning and Computational Physics (Lecture Notes)

Understand

These notes were compiled as lecture notes for a course developed and taught at the University of the Southern California.

• They should be accessible to a typical engineering graduate student with a strong background in Applied Mathematics.
• The main objective of these notes is to introduce a student who is familiar with concepts in linear algebra and partial differential equations to select topics in deep learning.
• These lecture notes exploit the strong connections between deep learning algorithms and the more conventional techniques of computational physics to achieve two goals.