Uhlolojikelele
Ukwenza ilebula bushelelezi iqhinga elilula lokujwayela elithambisa izinhloso zokuqeqesha ezishisayo, ukutshela imodeli impendulo efanele kungenzeka kakhulu kodwa akuqiniseki ngamaphesenti ayi-100. Ithuthukisa ukulinganisa kanye nokwenza okuvamile kuwo wonke amamodeli wesithombe nezilimi cishe ngaphandle kwezindleko ezengeziwe.
Ilebula ye-Smoothing ihlezi kukhithi yamathuluzi eyinhloko ye-AI. Uma uyiqonda, ezinye izihloko ze-AI ziba lula ukuzihlola nokuqhathanisa.
I-Deep Dive
Ngokuvamile umuntu ohlukanisa isigaba uqeqeshelwa amalebula ashisayo: ikilasi langempela lithola ithagethi engu-1.0 nayo yonke enye into engu-0.0. Kuhlanganiswe ne-cross-entropy kanye ne-softmax, lokhu kucindezela imodeli ukuze yenze ilogi elungile ibe mkhulu ngokungenamkhawulo kunayo yonke enye, okukhuthaza ukuzethemba ngokweqile kanye nokugcwalisa ngokweqile. Ukushelela kwelebula kungena esikhundleni sethagethi ngokuthi (1 - epsilon) yekilasi langempela kanye ne-epsilon/(K-1) esabalale kwamanye amakilasi angu-K, lapho i-epsilon incane (ngokuvamile engu-0.1). Imodeli manje ihlose ukusabalalisa okuzethembayo-kodwa-hhayi-absolute. Yethulwe emsebenzini ka-2016 we-Inception-v3 futhi kamuva yahlaziywa iqembu lika-Hinton, yathuthukisa ukunemba kwe-ImageNet futhi isezingeni kuma-Transformers, lapho iphepha lokuqala elithi Attention Is All You Need lisebenzise i-epsilon engu-0.1.
I-Technical Insight
Ngamalebula aqinile, ukunciphisa i-cross-entropy kushayela ilogu elilungile libheke ku-infinity enhle ngokuhlobene nabanye, okuyinto engenakufezwa futhi iphusha izisindo zibe ngokweqisa. Ukushelela kusetha igebe elilungile elilinganiselwe phakathi kwelogithi elungile nokunye, ngakho amalogi ahlala elinganiselwe futhi imodeli iyeka ukuzethemba okukhulu. Ucwaningo lubonisa lokhu kuqinisa amaqoqo ekilasi elifanayo futhi kukhiqiza amathuba alinganiswa kangcono, ukuzethemba okubikezelwe kufana nokunemba kwangempela. I-tradeoff: ingasula ulwazi oluqinile phakathi kwekilasi lokufana, ngezinye izikhathi okulimaza ukuchithwa kolwazi lapho lobo budlelwano obuthambile bubalulekile.
I-Mastering Label Smoothing
Ukwenza ilebula bushelelezi iqhinga elilula lokujwayela elithambisa izinhloso zokuqeqesha ezishisayo, ukutshela imodeli impendulo efanele kungenzeka kakhulu kodwa akuqiniseki ngamaphesenti ayi-100. Ithuthukisa ukulinganisa kanye nokwenza okuvamile kuwo wonke amamodeli wesithombe nezilimi cishe ngaphandle kwezindleko ezengeziwe. Ilebula ye-Smoothing ihlezi kukhithi yamathuluzi eyinhloko ye-AI. Uma uyiqonda, ezinye izihloko ze-AI ziba lula ukuzihlola nokuqhathanisa. Ukuze wakhe ukuqonda okujulile, phatha i-Label Smoothing njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela oyifunayo, ucacise ukucabanga, futhi uhlukanise lokho isistimu engakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.
Empeleni, amaqembu aqinile asebenzisa i-Label Smoothing akha amamodeli engqondo aqinile kuqala, bese ebeka lawo mamodeli emikhawulweni yokukhiqiza yangempela. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.
Kukusiza ukuthi uhlukanise izimangalo ezicacile zobuchwepheshe kusukela olimini lokumaketha. Ngesikhathi esifanayo, amaqembu ahlukene angasebenzisa igama elifanayo ngokuhlukile, ngakho chaza ububanzi kusenesikhathi. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.
I-Strategic Impact
Kukusiza ukuthi uhlukanise izimangalo ezicacile zobuchwepheshe kusukela olimini lokumaketha.
Kukusiza ukuthi uhlukanise izimangalo ezicacile zobuchwepheshe kusukela olimini lokumaketha. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ungabuza imibuzo yokusebenzisa kangcono ngaphambi kokusebenzisa imali noma isikhathi.
Ungabuza imibuzo yokusebenzisa kangcono ngaphambi kokusebenzisa imali noma isikhathi. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Amaqembu anokuqonda okwabiwe enza izinqumo ezingcono zomkhiqizo, inqubomgomo, nokufunda.
Amaqembu anokuqonda okwabiwe enza izinqumo ezingcono zomkhiqizo, inqubomgomo, nokufunda. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.
Ukuqaliswa Komhlaba Wangempela
Ukuhlukaniswa kwe-ImageNet: I-Inception-v3 isebenzise ilebula eshelelayo (epsilon 0.1) ukuze kukhuliswe ukunemba okuphezulu koku-1 nokunciphisa ukuzethemba ngokweqile.
Ukuhumusha ngomshini: i-Transformer yoqobo isebenzise ilebula yokushelela kuka-0.1, ihweba ngokudideka okuncane ukuze uthole amaphuzu aphezulu e-BLEU.
Ukuqashelwa kwenkulumo: okuqondiwe okushelelezi kunciphisa ukungaboni kahle kokuzethemba ngokweqile futhi kuthuthukise ukulinganiswa komsindo onomsindo.
Amamodeli ezithombe zezokwelapha: ukwenza bushelelezi kuveza amathuba alinganiswe kangcono, okubalulekile lapho amaphuzu okuzethemba azisa izinqumo zomtholampilo.
Amaphethini Okusebenzisa
Ilebula i-Smoothing ekusebenzeni
Ukuhlukaniswa kwe-ImageNet: I-Inception-v3 isebenzise ilebula eshelelayo (epsilon 0.1) ukuze kukhuliswe ukunemba okuphezulu koku-1 nokunciphisa ukuzethemba ngokweqile.
Ukuhlukaniswa kwe-ImageNet: I-Inception-v3 isebenzise ilebula eshelelayo (epsilon 0.1) ukuze kukhuliswe ukunemba okuphezulu kwe-top-1 kanye nokunciphisa ukuzethemba ngokweqile Amaqembu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Ilebula i-Smoothing ekusebenzeni
Ukuhumusha ngomshini: i-Transformer yoqobo isebenzise ilebula yokushelela kuka-0.1, ihweba ngokudideka okuncane ukuze uthole amaphuzu aphezulu e-BLEU.
Ukuhumusha ngomshini: i-Transformer yasekuqaleni esetshenziswa ilebula yokushelela okungu-0.1, ihweba ngokudideka okuncane ukuze uthole amaphuzu aphezulu e-BLEU Amaqembu ngokuvamile athola imiphumela engcono uma echaza imikhawulo yekhwalithi ngaphambili, egcina indlela yokukhuphuka yomuntu yamakesi asemaphethelweni, futhi alandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Ilebula i-Smoothing ekusebenzeni
Ukuqashelwa kwenkulumo: okuqondiwe okushelelezi kunciphisa ukungaboni kahle kokuzethemba ngokweqile futhi kuthuthukise ukulinganiswa komsindo onomsindo.
Ukuqashelwa kwenkulumo: okuqondiwe okushelelezi kunciphisa ukungazithembi ngokweqile futhi athuthukise ukulinganiswa kumaThimba omsindo onomsindo ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka yomuntu yezimo ezibucayi, futhi alandelela kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Ilebula i-Smoothing ekusebenzeni
Amamodeli ezithombe zezokwelapha: ukwenza bushelelezi kuveza amathuba alinganiswe kangcono, okubalulekile lapho amaphuzu okuzethemba azisa izinqumo zomtholampilo.
Amamodeli ezithombe zezokwelapha: ukwenza bushelelezi kuveza amathuba alinganiswe kangcono, okubalulekile lapho amaphuzu okuzethemba azisa izinqumo zomtholampilo Amathimba ngokuvamile athola imiphumela engcono lapho echaza izilinganiso zekhwalithi ngaphambili, agcina indlela yokukhuphuka komuntu ezimweni ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
Izingozi & Guardrails
Amaqembu ahlukene angasebenzisa igama elifanayo ngokuhlukile, ngakho chaza ububanzi kusenesikhathi.
Amabhentshimakhi angabukeka eqinile kuyilapho ukusebenza komhlaba wangempela kungalingani.
Ukuziba ikhwalithi yedatha nezinhlelo zokuhlaziya kuvame ukudala imiphumela entekenteke.
Ukuqalisa Umhlahlandlela
Qala ngencazelo yolimi olulula yomphumela oyidingayo.
Qala ngencazelo yolimi olulula yomphumela oyidingayo. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Khetha imethrikhi eyodwa yempumelelo nesimo esisodwa sokuhluleka ngaphambi kokuhlolwa.
Khetha imethrikhi eyodwa yempumelelo nesimo esisodwa sokuhluleka ngaphambi kokuhlolwa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Qalisa umshayeli omncane onedatha emele, hhayi isethi yedemo ephucuziwe.
Qalisa umshayeli omncane onedatha emele, hhayi isethi yedemo ephucuziwe. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.
Bhala lapho i-Label Smoothing isiza khona nalapho izindlela ezilula zingcono khona.
Bhala lapho i-Label Smoothing isiza khona nalapho izindlela ezilula zingcono khona. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.