Machine Learning Glossary: Difference between revisions
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* Fréchet Inception Distance (FID) - a reference-based GAN evaluation metric which passes images through a pretrained network (typically Inception) and compares the distribution of intermediate features. | * Fréchet Inception Distance (FID) - a reference-based GAN evaluation metric which passes images through a pretrained network (typically Inception) and compares the distribution of intermediate features. | ||
* Fully connected network - The standard neural network model where each layer is a sequence of nodes. | * Fully connected network - The standard neural network model where each layer is a sequence of nodes. | ||
* Features | * Features - a generic term indicating the latent inputs or intermediate outputs of a neural network (2D = feature map, 3D = feature grid). | ||
==G== | ==G== | ||