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Machine Learning Glossary: Difference between revisions
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* 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. | ||
* Positional encoding - Applying sin/cos at various frequencies (i.e. fourier basis) so the network can distinguish input values at different scales. Used in | * Positional encoding - Applying sin/cos at various frequencies (i.e. fourier basis) so the network can distinguish input values at different scales. Used in neural fields as well as NLP models to encode the relative positions of inputs. | ||
==R== | ==R== | ||