LEADER 01403nam 2200337 450 001 996575311903316 005 20231213213428.0 010 $a1-5044-9358-3 035 $a(CKB)4100000012904014 035 $a(NjHacI)994100000012904014 035 $a(EXLCZ)994100000012904014 100 $a20231213d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2841-2022 - IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation /$fInstitute of Electrical and Electronics Engineers 210 1$aNew York :$cIEEE,$d2023. 215 $a1 online resource (32 pages) 320 $aIncludes bibliographical references. 330 $aThe recommendations on evaluating and improving algorithm reliability for shortening the development cycle of deep learning algorithms and improving the quality of software systems based on deep learning algorithms are defined in this document. An assessment index system and corresponding assessment process are specified in this document. 606 $aAlgorithms 615 0$aAlgorithms. 676 $a518.1 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a996575311903316 996 $a2841-2022 - IEEE Recommended Practice for Framework and Process for Deep Learning Evaluation$93880992 997 $aUNISA