National Library of Finland
Open Data and Linked Data Service
Search works, persons, organizations and subjects:
Foundations and advances in deep learning
URI:
http://urn.fi/URN:NBN:fi:bib:me:W00664982400
about
koneoppiminen
neuroverkot
author
Cho, Kyunghyun
contributor
Aalto-yliopiston perustieteiden korkeakoulu. Tietojenkäsittelytieteen laitos
inLanguage
en
isPartOf
Fennica
name
Foundations and advances in deep learning
P60049
<http://rdaregistry.info/termList/RDAContentType/1014>
<http://rdaregistry.info/termList/RDAContentType/1020>
Instances
-
-
-, e-book
2014 : Aalto University, School of Science, Department of Information and Computer Science, Deep Learning and Bayesian Modeling
Foundations and advances in deep learning
URI:
http://urn.fi/URN:NBN:fi:bib:me:I00664982401
description
Yhteenveto-osa julkaistu myös verkkoaineistona
isPartOf
Fennica
MTI Publications
name
Foundations and advances in deep learning
Foundations and advances in deep learning
URI:
http://urn.fi/URN:NBN:fi:bib:me:I00664982402
isbn
9789526055756
isPartOf
Fennica
MTI Publications
name
Foundations and advances in deep learning
Foundations and advances in deep learning
URI:
http://urn.fi/URN:NBN:fi:bib:me:I00664982403
bookFormat
<http://schema.org/EBook>
isPartOf
Fennica
MTI Publications
name
Foundations and advances in deep learning
url
<http://urn.fi/URN:ISBN:978-952-60-5575-6>
Foundations and advances in deep learning
URI:
http://urn.fi/URN:NBN:fi:bib:me:I00664982400
datePublished
2014
description
Artikkeliväitöskirjan yhteenveto-osa ja 10 eripainosta.
kuvitettu
identifier
propertyID:
FI-MELINDA
value:
006649824
isbn
9789526055749
isPartOf
Fennica
MTI Publications
name
Foundations and advances in deep learning
numberOfPages
156, [120] sivu
P60048
<http://rdaregistry.info/termList/RDACarrierType/1049>
P60050
<http://rdaregistry.info/termList/RDAMediaType/1007>
publication
location:
Espoo
organizer:
Aalto University, School of Science, Department of Information and Computer Science, Deep Learning and Bayesian Modeling
publisher
Aalto University, School of Science, Department of Information and Computer Science, Deep Learning and Bayesian Modeling
Download this resource as RDF:
Turtle
RDF/XML
N-Triples
JSON-LD