Frequency principle/spectral bias
id:
frequency-principle-spectral-bias-162-9399731
title:
Frequency principle/spectral bias
text:
The frequency principle/spectral bias is a phenomenon observed in the study of Artificial Neural Networks(ANNs), specifically deep neural networks(DNNs). It describes the tendency of deep neural networks to fit target functions from low to high frequencies during the training process. This phenomenon is referred to as the frequency principle (F-Principle) by Zhi-Qin John Xu et al. or spectral bias by Nasim Rahaman et al. The F-Principle can be robustly observed in DNNs, regardless of overparamet
brand slug:
wiki
category slug:
encyclopedia
description:
Phenomenon observed in the study of Artificial Neural Networks
original url:
https://en.wikipedia.org/wiki/Frequency_principle/spectral_bias
date created:
2023-07-14T02:03:09Z
date modified:
2024-08-27T19:54:02Z
main entity:
{"identifier":"Q125469832","url":"https://www.wikidata.org/entity/Q125469832"}
image:
fields total:
13
integrity:
15