Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion
type: Item
instance of: scholarly article
zbMATH Open document ID: 1242.68256
author: Pascal Vincent
author: Hugo Larochelle
author: Isabelle Lajoie
author: Yoshua Bengio
author: Pierre-Antoine Manzagol
publication date: 2012-07-13T00:00:00Z
full work available at URL: vincent10a.html
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6055596
zbMATH Keywords: deep learning
zbMATH Keywords: unsupervised feature learning
zbMATH Keywords: deep belief networks
zbMATH Keywords: autoencoders
zbMATH Keywords: denoising
MaRDI profile type: Publication
Recommended article: Extracting and inserting knowledge into stacked denoising auto-encoders
Recommended article: An iterative stacked weighted auto-encoder
title: Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion
published in: Journal of Machine Learning Research (JMLR)
description: scientific article; zbMATH DE number 6055596