Indlela Nezinzuzo Zemodeli Ye-AI Yokulungisa Ukuhlanekezelwa Kwelensi

创建于02.08
Indlela yokulungisa ilensi ukuhlanekezela kusetshenziswa amamodeli e-AI.
Ukuqeqeshwa kwemodeli okusekelwe ekufundeni okujulile
Imodeli ye-AI iqeqeshwa kusetshenziswa inani elikhulu ledatha yesithombe, ifunda ubudlelwano bemephu phakathi kwezithombe ezijwayelekile nezithombe ezihlanekezelwe. Uma sithatha i-convolutional neural network (CNN) njengesibonelo, kwakhiwa uhlaka lwenethiwekhi izendlalelo eziningi ze-convolutional, izendlalelo zokuhlanganisa, nezendlalelo ezixhumeke ngokugcwele. Inombolo enkulu yezithombe ezihlanekezelwe kanye nezithombe zazo ezilungisiwe ezihambisanayo zisetshenziswa njengesethi yokuqeqeshwa kanye nenethiwekhi yokuqeqeshwa. Phakathi nenqubo yokuqeqesha, imodeli ngokuqhubekayo ilungisa amapharamitha enethiwekhi ukuze kuncishiswe umehluko phakathi kokukhishwa kwezithombe ezilungisiwe yimodeli kanye nezithombe zangempela, ezifana nomsebenzi wokulahlekelwa kwesikwele esiqondile (MSE), esingasetshenziswa ukukala umehluko phakathi kokubili. Nge-algorithm ye-backpropagation izisindo zenethiwekhi zibuyekezwa ngokuqhubekayo, okuvumela imodeli ukuthi ifunde kancane kancane ukulungisa ngokunembile ukuhlanekezela kwamalensi.
Ukubalwa kwepharamitha yesici nepharamitha yokuhlanekezela
Lapho icubungula izithombe, i-AI iqala ngokukhipha isici ezithombeni ezisontekile. Kusetshenziswa izinhlamvu ze-convolution kuzendlalelo ze-convolutional, okukhishiwe kwemodeli kuveza ulwazi olufana nemiphetho kanye nokuthungwa okuvela ezithombeni Ngokuhlaziya lezi zici, imodeli ingabona amaphethini okuhlanekezela ezithombeni. Ngokusekelwe ebudlelwaneni bemephu obufundiwe nezici ezikhishiwe, imodeli ibala amapharamitha ahambisanayo, njengamapharamitha wokuhlanekezela kwe-radial k1, k2, k3 kanye namapharamitha okuhlanekezela okune-tangential p1, p2. Lawa mapharamitha asetshenziselwa izinga kanye nohlobo lokuhlanekezela ezithombeni, okunikeza isisekelo sokusebenza kokulungiswa okulandelayo.
Ukulungiswa kwesithombe nokwenza kahle
Ngokusekelwe kumapharamitha wokuhlanekezela abaliwe, i-AI ilungisa izithombe ezihlanekezelwe. Kusetshenziswa amafomula okuguqulwa kwezibalo, iphikseli ngayinye esesithombeni iphinda ifakwe imephu ngokuya ngamapharamitha wokuhlanekezela ukuyibuyisela endaweni yayo evamile. izinhlelo zokusebenza ezisebenzayo, ukuze kuthuthukiswe umphumela wokulungisa, imodeli ye-AI ingaphinda ihlanganise amasu okuthuthukisa isithombe ukuze yenze ukunciphisa umsindo, ukuthuthukisa umehluko, nokulungiswa kombala kokulungisiwe, ithuthukise ikhwalithi iyonke yezithombe.
Izinzuzo zemodeli ye-AI ekulungiseni ukuhlanekezela kwamalensi.
Ukulungisa okunembayo okuphezulu
Uma kuqhathaniswa nezindlela zokulungisa zendabuko ezisekelwe ku-geometric, amamodeli e-AI angafunda amaphethini okuhlanekezela ayinkimbinkimbi nemithetho yokulungisa, ngaleyo ndlela azuze ukulungiswa okunembayo okuphezulu. Lapho ucubungula izithombe ezigcawini eziyinkimbinkimbi, izindlela zendabuko zingase zibangele ukulungiswa okungalungile ngenxa yokungakwazi ukuchaza ngokunembile isimo sokuhlanekezela, kuyilapho amamodeli e-AI angakwazi ukuzivumelanisa kangcono nezimo ezihlukahlukene eziyinkimbinkimbi ngokufunda kusuka kudatha enkulu yedatha, okwenza izithombe ezilungisiwe zisondele endaweni yangempela.
Ukuzivumelanisa nezimo okuqinile
Amamodeli e-AI anokuvumelana nezimo okuqinile futhi angakwazi ukulungisa ngokuzenzakalelayo imingcele yokulungisa ngokwezinhlobo zamalensi ahlukene, izimo zokudubula namadigri ahlanekezela. Kungakhathaliseki ukuthi ibhekene nemikhiqizo ehlukene namamodeli amalensi noma izithombe ezishuthwe ngaphansi kokukhanya okuhlukile, izinga lokushisa, nezinye izimo zemvelo, amamodeli e-AI angakwazi ukulungisa ngempumelelo, ukubakhona kwendawo yonke kanye nokuvumelana nezimo kwendlela yokulungisa.
Ukusebenza kwesikhathi sangempela kanye nokwenza ngcono ukusebenza kahle
Ngokuthuthukiswa kobuchwepheshe behadiwe kanye nokuthuthukiswa kwamasu okwenza imodeli, amamodeli e-AI angafinyelela isivinini sokucubungula okuphezulu aqinisekise ukunemba kokulungisa, ahlangabezane nezidingo zesikhathi sangempela. Kwezinye izimo zohlelo lokusebenza ezidinga ukucutshungulwa kwesithombe sesikhathi sangempela, njengokushayela ngokuzenzakalelayo nokuqapha kwesikhathi sangempela, amamodeli e-AI angakwazi ngokushesha ukuhlanekezela izithombe ezithwetshulwe amakhamera, anikeze idatha yesithombe enembile yokuhlaziywa kwesithombe nokuthathwa kwezinqumo okulandelayo, kanye nokwenza ngcono ukusebenza kahle kohlelo lonke.
Amamodeli e-AI abonise amakhono nezinzuzo ekulungiseni ukuhlanekezelwa kwamalensi, futhi ngokufunda okujulile nama-algorithms athuthukisiwe, angakwazi ukufeza ukulungiswa kokuhlanekezela okunembayo okuphezulu nokuguquguqukayo, anikeze idatha yesithombe yekhwalithi ephezulu yezinkambu ezithembele ekutholweni nasekucutshungulweni kwezithombe, kanye nokukhuthaza ukuthuthukiswa nokusetshenziswa kobuchwepheshe obuhlobene. Ngokuthuthuka okuqhubekayo kobuchwepheshe be-AI, amamodeli e-AI azodlala indima ekulungiseni ukuhlanekezela kwamalensi esikhathini esizayo, alethe ulwazi olubonakalayo olucace futhi olunembe kakhudlwana kubantu.
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