Designing an Architecture for Physics-Informed Machine Learning - Part 3

Designing an Architecture for Physics-Informed Machine Learning - Part 3

Steve Brunton via YouTube Direct link

Intro

1 of 15

1 of 15

Intro

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Designing an Architecture for Physics-Informed Machine Learning - Part 3

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 The Architecture Zoo/Architectures Overview
  3. 3 What is Physics?
  4. 4 Case Study: Pendulum
  5. 5 Defining a Function Space
  6. 6 Case Studies: Physics Informed Architectures
  7. 7 ResNets
  8. 8 UNets
  9. 9 Physics Informed Neural Networks
  10. 10 Lagrangian Neural Networks
  11. 11 Deep Operator Networks
  12. 12 Fourier Neural Operators
  13. 13 Graph Neural Networks
  14. 14 Invariance and Equivariance
  15. 15 Outro

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.