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2021-06-28 17:49:03 +02:00
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_toc.yml
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@@ -1,9 +1,7 @@
# PBDL Table of content (cf https://jupyterbook.org/customize/toc.html) format: jb-book
# root: intro.md
parts:
- file: intro.md - caption: Introduction
- part: Introduction
chapters: chapters:
- file: intro-teaser.ipynb - file: intro-teaser.ipynb
- file: overview.md - file: overview.md
@@ -15,56 +13,41 @@
sections: sections:
- file: supervised-airfoils.ipynb - file: supervised-airfoils.ipynb
- file: supervised-discuss.md - file: supervised-discuss.md
- caption: Physical Losses
- part: Physical Losses
chapters: chapters:
- file: physicalloss.md - file: physicalloss.md
- file: physicalloss-code.ipynb - file: physicalloss-code.ipynb
- file: physicalloss-discuss.md - file: physicalloss-discuss.md
- caption: Differentiable Physics
- part: Differentiable Physics
chapters: chapters:
- file: diffphys.md - file: diffphys.md
- file: diffphys-code-burgers.ipynb - file: diffphys-code-burgers.ipynb
- file: diffphys-discuss.md - file: diffphys-discuss.md
- file: diffphys-code-ns.ipynb - file: diffphys-code-ns.ipynb
- file: diffphys-dpvspinn.md - file: diffphys-dpvspinn.md
- caption: Complex Examples with DP
- part: Complex Examples with DP
chapters: chapters:
- file: diffphys-examples.md - file: diffphys-examples.md
- file: diffphys-code-sol.ipynb - file: diffphys-code-sol.ipynb
- file: diffphys-control.ipynb - file: diffphys-control.ipynb
- file: diffphys-outlook.md - file: diffphys-outlook.md
- caption: Reinforcement Learning
- part: Reinforcement Learning
chapters: chapters:
- file: reinflearn-intro.md - file: reinflearn-intro.md
- file: reinflearn-code.ipynb - file: reinflearn-code.ipynb
- caption: PBDL and Uncertainty
# - part: Physical Gradients
# chapters:
# - file: physgrad.md
# - file: physgrad-comparison.ipynb
# - file: physgrad-nn.md
# - file: physgrad-discuss.md
- part: PBDL and Uncertainty
chapters: chapters:
- file: bayesian-intro.md - file: bayesian-intro.md
- file: bayesian-code.ipynb - file: bayesian-code.ipynb
- caption: Fast Forward Topics
- part: Fast Forward Topics
chapters: chapters:
- file: others-intro.md - file: others-intro.md
- file: others-timeseries.md - file: others-timeseries.md
- file: others-GANs.md - file: others-GANs.md
- file: others-lagrangian.md - file: others-lagrangian.md
- file: others-metrics.md - file: others-metrics.md
- caption: End Matter
- part: End Matter
chapters: chapters:
- file: outlook.md - file: outlook.md
- file: references.md - file: references.md
- file: notation.md - file: notation.md

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overview.md
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@@ -2,7 +2,7 @@ Overview
============================ ============================
The name of this book, _Physics-Based Deep Learning_, The name of this book, _Physics-Based Deep Learning_,
denotes combiniations of physical modeling and numerical simulations with denotes combinations of physical modeling and numerical simulations with
methods based on artificial neural networks. methods based on artificial neural networks.
The general direction of Physics-Based Deep Learning represents a very The general direction of Physics-Based Deep Learning represents a very
active, quickly growing and exciting field of research, and the following chapter will active, quickly growing and exciting field of research, and the following chapter will