The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariance. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Kalanit_Grill-Spector>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Megha_Srivastava>
foaf:homepage	<http://arxiv.org/abs/1810.13128>
dc:identifier	DBLP journals/corr/abs-1810-13128 (xsd:string)
dcterms:issued	2018 (xsd:gYear)
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rdfs:label	The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariance. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Kalanit_Grill-Spector>
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/journals/corr/corr1810.html#abs-1810-13128>
dc:title	The Effect of Learning Strategy versus Inherent Architecture Properties on the Ability of Convolutional Neural Networks to Develop Transformation Invariance. (xsd:string)
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