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Machine Learning Glossary: Difference between revisions
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* Peak signal-to-noise ratio (PSNR) - a pixel-wise metric used to evaluate the quality of an image against a reference. | |||
* Perceptron - a linear classifier. | * Perceptron - a linear classifier. | ||
* Perceptual loss - a loss function which passes images through a pretrained network (e.g. VGG) and compares intermediate features instead of raw pixels. | * Perceptual loss - a loss function which passes images through a pretrained network (e.g. VGG) and compares intermediate features instead of raw pixels. | ||