LEADER 01244nam0 22003253i 450 001 VAN0278399 005 20240620024258.788 017 70$2N$a9789811660467 100 $a20240620d2022 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aGeometry of Deep Learning$eA Signal Processing Perspective$fJong Chul Ye 210 $aSingapore$cSpringer$d2022 215 $axvi, 330 p.$cill.$d24 cm 410 1$1001VAN0067048$12001 $aMathematics in industry$1210 $aBerlin [etc.]$cSpringer$v37 610 $aDeep Learning$9KW:K 610 $aGeometric understanding of deep neural network$9KW:K 610 $aMathematical principle of deep learning$9KW:K 610 $aOptimal transport$9KW:K 610 $aReview of state-of-the art deep learning methods$9KW:K 620 $aSG$dSingapore$3VANL000061 700 1$aYe$bJong Chul$3VANV230946$01426681 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240621$gRICA 856 4 $uhttps://doi.org/10.1007/978-981-16-6046-7$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 912 $fN 912 $aVAN0278399 996 $aGeometry of deep learning$93558737 997 $aUNICAMPANIA