« Dummy Variable » : différence entre les versions

Version du 15 décembre 2020 à 19:20

en construction

Définition

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Français

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Anglais

Perceptual Loss Functions Perceptual loss functions are used when comparing two different images that look similar, like the same photo but shifted by one pixel. The function is used to compare high level differences, like content and style discrepancies, between images. A perceptual loss function is very similar to the per-pixel loss function, as both are used for training feed-forward neural networks for image transformation tasks. The perceptual loss function is a more commonly used component as it often provides more accurate results regarding style transfer.

Source : DeepAI.org

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 == Anglais ==
-''' Dummy Variable '''
+''' Perceptual Loss Functions'''
+Perceptual loss functions are used when comparing two different images that look similar, like the same photo but shifted by one pixel. The function is used to compare high level differences, like content and style discrepancies, between images. A perceptual loss function is very similar to the per-pixel loss function, as both are used for training feed-forward neural networks for image transformation tasks. The perceptual loss function is a more commonly used component as it often provides more accurate results regarding style transfer.
-Generally, a dummy variable is a placeholder for a variable that will be integrated over, summed over, or marginalized.   However, in machine learning, it often describes the individual variables in a one-hot encoding scheme. Thus, dummy or Boolean variables are qualitative variables that can only take the value 0 or 1 to indicate the absence or presence of a specified condition.  These “truth” variables are used to sort data into mutually exclusive categories or to trigger off/on commands.
 <small>
-[https://deepai.org/machine-learning-glossary-and-terms/dummy-variable  Source : DeepAI.org ]
+[https://deepai.org/machine-learning-glossary-and-terms/perceptual-loss-function  Source : DeepAI.org ]
 [[Catégorie:DeepAI.org]]
 [[Catégorie:vocabulary]]