Tubidy
    Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning]

    Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning]

    19:24 |
    Download MP3

    Related Videos

    Probability and Statistics: Overview 29:43

    Probability and Statistics: Overview

    AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning] 43:27

    AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]

    Neural ODEs (NODEs) [Physics Informed Machine Learning] 24:37

    Neural ODEs (NODEs) [Physics Informed Machine Learning]

    Python Symbolic Regression (PySR) [Physics Informed Machine Learning] 16:11

    Python Symbolic Regression (PySR) [Physics Informed Machine Learning]

    Fourier Neural Operator (FNO) [Physics Informed Machine Learning] 17:46

    Fourier Neural Operator (FNO) [Physics Informed Machine Learning]

    Topics in Dynamical Systems: Fixed Points, Linearization, Invariant Manifolds, Bifurcations & Chaos 32:11

    Topics in Dynamical Systems: Fixed Points, Linearization, Invariant Manifolds, Bifurcations & Chaos

    AI/ML+Physics: Preview of Upcoming Modules and Bootcamps [Physics Informed Machine Learning] 19:01

    AI/ML+Physics: Preview of Upcoming Modules and Bootcamps [Physics Informed Machine Learning]

    Deep Operator Networks (DeepONet) [Physics Informed Machine Learning] 17:17

    Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]

    Lagrangian Neural Network (LNN) [Physics Informed Machine Learning] 19:49

    Lagrangian Neural Network (LNN) [Physics Informed Machine Learning]

    Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning] 19:24

    Hamiltonian Neural Networks (HNN) [Physics Informed Machine Learning]

    Residual Networks (ResNet) [Physics Informed Machine Learning] 17:26

    Residual Networks (ResNet) [Physics Informed Machine Learning]

    Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning] 34:32

    Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]

    The Fourier Transform 14:36

    The Fourier Transform

    Principal Component Analysis (PCA) 13:46

    Principal Component Analysis (PCA)

    Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later! 24:06

    Sparse Identification of Nonlinear Dynamics (SINDy): Sparse Machine Learning Models 5 Years Later!

    Gauss's Divergence Theorem 26:53

    Gauss's Divergence Theorem

    A Neural Network Primer 19:14

    A Neural Network Primer

    Differential Equations and Dynamical Systems: Overview 29:31

    Differential Equations and Dynamical Systems: Overview

    Taylor Series and Power Series Made Easy (with Pictures): Review of Calculus 28:55

    Taylor Series and Power Series Made Easy (with Pictures): Review of Calculus

    AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning] 24:01

    AI/ML+Physics: Recap and Summary [Physics Informed Machine Learning]