updated burgers forward sim
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@ -409,16 +409,10 @@
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"\n",
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"- This notebook is itentionally using a very simple setup. Change the training setup and NN above to obtain a higher-quality solution such as the green one shown in the very first image at the top. \n",
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"\n",
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"- Or try extending the setup to a 2D case, i.e. a paraboloid. Given the function $\\mathcal P:(y_1,y_2)\\to y_1^2+y_2^2$, find an inverse function $f$ such that $\\mathcal P(f(x)) = x$ for all $x$ in $[0,1]$."
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"- Or try extending the setup to a 2D case, i.e. a paraboloid. Given the function $\\mathcal P:(y_1,y_2)\\to y_1^2+y_2^2$, find an inverse function $f$ such that $\\mathcal P(f(x)) = x$ for all $x$ in $[0,1]$.\n",
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"\n",
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"- If you want to experiment without installing anything, you can also [[run this notebook in colab]](https://colab.research.google.com/github/tum-pbs/pbdl-book/blob/main/intro-teaser.ipynb). E.g., to try the things mentioned right above."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "victorian-discipline",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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