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Use note directive.
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content/tutorial-svd.md

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@@ -206,7 +206,11 @@ import numpy as np
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U, s, Vt = np.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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