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100   $a20220907d2022      uy             0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aGeometry of deep learning $ea signal processing perspective /$fJong Chul Ye
210  1$aGateway East, Singapore :$cSpringer,$d[2022]
210  4$dŠ2022
215   $a1 online resource (338 pages)
225 1 $aMathematics in industry ;$vVolume 37
311 08$aPrint version: Ye, Jong Chul Geometry of Deep Learning Singapore : Springer Singapore Pte. Limited,c2022 9789811660450 
320   $aIncludes bibliographical references and index.
410  0$aMathematics in industry ;$vVolume 37.
606   $aDeep learning (Machine learning)
606   $aGeometry
606   $aNeural networks (Computer science)
606   $aAprenentatge automātic$2thub
606   $aXarxes neuronals (Informātica)$2thub
606   $aGeometria$2thub
608   $aLlibres electrōnics$2thub
615  0$aDeep learning (Machine learning)
615  0$aGeometry.
615  0$aNeural networks (Computer science)
615  7$aAprenentatge automātic
615  7$aXarxes neuronals (Informātica)
615  7$aGeometria
676   $a006.31
700   $aYe$b Jong Chul$01426681
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910743375203321
996   $aGeometry of deep learning$93558737
997   $aUNINA