SVD: Eigenfaces 1 [Python]

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This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Python code, part 1).

These lectures follow Chapter 1 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz

This video was produced at the University of Washington
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Great series and explanation absolutely loved it!

nabinsharma
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0:23 1:07 1:21 64 images/person * 38 people * 32000 pixels/image ➡ each column is one single image, there are a total of 64 * 38 columns.

willw
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thanks for the video,
how do we convert those 64 pictures of one face into numbers?

Harish-oudy
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Sir I am facing some trouble downloading the code.Can you provide the link

ankitchatterjee
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Sir can u tell what does the value of "m", "n" interpret...??

sugashtm
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what does the "nfaces" attribute stands for?

安寶-bf