« Binarisation » : différence entre les versions


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Binarization is the process of transforming data features of any entity into vectors of binary numbers to make classifier algorithms more efficient. In a simple example, transforming an image’s gray-scale from the 0-255 spectrum to a 0-1 spectrum is binarization.
Binarization is the process of transforming data features of any entity into vectors of binary numbers to make classifier algorithms more efficient. In a simple example, transforming an image’s gray-scale from the 0-255 spectrum to a 0-1 spectrum is binarization.
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Version du 19 décembre 2020 à 20:15

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Binarization

Binarization is the process of transforming data features of any entity into vectors of binary numbers to make classifier algorithms more efficient. In a simple example, transforming an image’s gray-scale from the 0-255 spectrum to a 0-1 spectrum is binarization.


Source : DeepAI.org

Récupérée de « https://datafranca.org/wiki/index.php?title=Binarisation&oldid=34678 »


Contributeurs: Imane Meziani, Isaline Hodecent, wiki