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Deep Learning to Discover Coordinates for Dynamics - Autoencoders & Physics Informed Machine Learning

Steve Brunton via YouTube

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Overview

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This course presents deep learning methods for simultaneously discovering coordinate systems and simple dynamical models for complex physical systems. It discusses sparse identification, Koopman-based linearization, nonlinear oscillators, and partial differential equations.

Syllabus

Intro
Autoencoders
Motivation
General Challenges
Nonlinearity
Fluids
SVD
Auto Encoder Network
Solar System Example
Coordinate Systems
Constrictive Autoencoders
Koopman Review
Nonlinear Oscillators
Partial Differential Equations
Conclusion

Taught by

Steve Brunton

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