A new initialization method based on normed statistical spaces in deep networks
type: Item
instance of: scholarly article
title: A new initialization method based on normed statistical spaces in deep networks
author: Hongfei Yang
author: Xiaofeng Ding
author: Hui Hu
author: Tieyong Zeng
author: Raymond H. Chan
author: Yaxin Peng
published in: Inverse Problems and Imaging
publication date: 2021-06-03T00:00:00Z
Mathematics Subject Classification ID: 68T01
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68Q32
zbMATH DE Number: 7354121
zbMATH Keywords: neural networks
zbMATH Keywords: parameters sharing
zbMATH Keywords: parameters initialization
zbMATH Keywords: deep learning
zbMATH Keywords: model training
describes a project that uses: CIFAR
describes a project that uses: U-Net
describes a project that uses: MobileNetV2
describes a project that uses: MobileNets
describes a project that uses: Inception-v4
MaRDI profile type: Publication
full work available at URL: ipi.2020045
OpenAlex ID: W3048124370
cites work: A new initialization method for neural networks with weight sharing
cites work: Q5270493
cites work: Q4340161
cites work: Q4340096
cites work: A mathematical theory of semantic development in deep neural networks
DOI: 10.3934/IPI.2020045
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description: scientific article; zbMATH DE number 7354121