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''' | ''' 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. | |||
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[https://deepai.org/machine-learning-glossary-and-terms/ | [https://deepai.org/machine-learning-glossary-and-terms/perceptual-loss-function Source : DeepAI.org ] | ||
[[Catégorie:DeepAI.org]] | [[Catégorie:DeepAI.org]] | ||
[[Catégorie:vocabulary]] | [[Catégorie:vocabulary]] | ||
Version du 15 décembre 2020 à 18:20
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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.
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