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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/phd/hal/Stock21>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Pierre_Stock>
foaf:homepage <https://tel.archives-ouvertes.fr/tel-03200288>
dc:identifier DBLP phd/hal/Stock21 (xsd:string)
dcterms:issued 2021 (xsd:gYear)
rdfs:label Efficiency and Redundancy in Deep Learning Models: Theoretical Considerations and Practical Applications. (Efficience et redondance dans les modèles d'apprentissage profond : considérations théoriques et applications pratiques). (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Pierre_Stock>
dc:publisher √Čcole normale sup√©rieure de Lyon, France (xsd:string)
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/phd/hal/Stock21/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/phd/hal/Stock21>
rdfs:seeAlso <https://tel.archives-ouvertes.fr/tel-03200288>
dc:title Efficiency and Redundancy in Deep Learning Models: Theoretical Considerations and Practical Applications. (Efficience et redondance dans les modèles d'apprentissage profond : considérations théoriques et applications pratiques). (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:PhDThesis
rdf:type foaf:Document