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Use note directive.
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content/tutorial-svd.md

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@@ -215,7 +215,11 @@ Now, applying the [linalg.svd](https://numpy.org/devdocs/reference/generated/num
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U, s, Vt = linalg.svd(img_gray)
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```
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**Note** If you are using your own image, this command might take a while to run, depending on the size of your image and your hardware. Don't worry, this is normal! The SVD can be a pretty intensive computation.
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```{note}
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If you are using your own image, this command might take a while to run,
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depending on the size of your image and your hardware.
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Don't worry, this is normal! The SVD can be a pretty intensive computation.
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```
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