Amanethiwekhi Omgwaqo Omkhulu kanye Nokuxhumana Kweqa
Ukweqa ukuxhumeka vumela ulwazi lweqe izendlalelo ezidlule, futhi amanethiwekhi emigwaqo enguthelawayeka abe inguqulo yangaphambi kwesikhathi esesangweni yalo mbono.
Uhlolojikelele
They solve the problem of training very deep networks, which paved the way for ResNets and modern deep learning.
I-Deep Dive
Ngaphambi kokweqa ukuxhumeka, ukunqwabelanisa izendlalelo eziningi kwenza amanethiwekhi aba nzima, kungabi ngcono, ukuqeqesha ngoba ama-gradient ashabalala namasignali ehliswa. Amanethiwekhi omgwaqo omkhulu, athulwe ngo-2015, engeza amasango afundiwe alawula ukuthi kungakanani okokufaka kwesendlalelo okuguqulwayo kuqhathaniswa nokudlula ngqo, kugqugquzelwe i-LSTM gating. Ngokushesha ngemva kwalokho, i-ResNets yenza lokhu kwaba lula ekuxhumekeni okuyinsalela, lapho isendlalelo sifunda umsebenzi wensalela futhi okukhiphayo kwengezwa kokokufakayo kusetshenziswa isinqamuleli sobunikazi. Lezi zinqamuleli zidala izindlela eziqondile zokuthi ama-gradient agezele emuva, okwenza kube nokwenzeka ukuqeqesha amanethiwekhi amakhulu noma izendlalelo eziyinkulungwane ukujula. Ukweqa ukuxhumana manje sekuvela yonke indawo, okuhlanganisa i-U-Nets, i-DenseNets, nama-transformer.
I-Technical Insight
Ibhulokhi eyinsalela ihlanganisa okukhiphayo = F(x) + x, ngakho inethiwekhi idinga kuphela ukufunda okusele okungu-F(x) kunokufunda imephu egcwele. Ngesikhathi sokusakazwa kwe-backpropagation igama lesazisi esingeziwe lidlula ama-gradient ngokungashintshiwe, ahlehle ama-gradient ashabalalayo. Amanethiwekhi omgwaqo omkhulu enza lokhu ngokujwayelekile ngesango lokuguqula elingu-T nesango lokuthwala, okukhiphayo = F(x)*T(x) + x*(1 - T(x)), lapho u-T efundwa khona futhi ibanga phakathi kuka-0 no-1.
I-Strategic Impact
Izindleko kanye nesabelomali
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo ezicacile
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Ukulawulwa kwekhwalithi
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Ikusasa Lamanethiwekhi Omgwaqo Omkhulu Nokuxhumana Kweqa
Ukweqa ukuxhumana manje sekuyibhulokhi yokwakha ezenzakalelayo kuneqhinga lokuzikhethela. Yonke i-transformer isebenzisa ukuxhumeka okuyinsalela ezungeze ukunaka kwayo kanye nama-sublayers adlulisela phambili, futhi ahlala ebalulekile kumamodeli okusabalalisa, ama-U-Nets e-segmentation, namanethiwekhi egrafu. Ucwaningo luhlola ukubekwa okungcono okujwayelekile, ukukala okufundekayo kwezindlela ezisele, nezakhiwo ezihlehliswayo ezibuyisela kusebenze ukulondoloza inkumbulo. Umqondo oyinhloko wokulondoloza isiginali ekujuleni uzoqhubeka njengoba amamodeli ekhula.
Ukuqaliswa Komhlaba Wangempela
I-ResNet-50 ne-ResNet-152 zisebenzisa izinqamuleli eziyinsalela ukuqeqesha abahlukanisa izithombe ezijule kakhulu.
Ama-Transformer namamodeli amakhulu olimi asonga ukuxhumana okuyinsalela ekunakekelweni nasezindlaleni zokudlulisela phambili
Uxhumano lwe-U-Net lweqa ludlulisa imininingwane emihle yendawo ukusuka kusifaki khodi kuye kusikhiphi khodi ukuze uthole ukuhlukaniswa kwesithombe sezokwelapha esinembile
I-DenseNet ixhuma isendlalelo ngasinye kuzo zonke izendlalelo zakamuva, ikhuthaze ukusetshenziswa kabusha kwesici nokunciphisa ukugeleza kwegradient
Izingozi & Guardrails
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Ukuqalisa Umhlahlandlela
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
Amanethiwekhi we-Siamese kanye Nokulahlekelwa Okuthathu
Imibuzo evame ukubuzwa
What is Highway Networks and Skip Connections?
Ukweqa ukuxhumeka vumela ulwazi lweqe izendlalelo ezidlule, futhi amanethiwekhi emigwaqo enguthelawayeka abe inguqulo yangaphambi kwesikhathi esesangweni yalo mbono. Baxazulula inkinga yokuqeqesha amanethiwekhi ajule kakhulu, avule indlela ye-ResNets nokufunda okujulile kwesimanje.
Iyiphi inkinga esemqoka ukweqa ukuxhumana okusiza ukuyixazulula kumanethiwekhi ajule kakhulu?
Ngokunikeza izindlela eziqondile, ukweqa ukuxhumana vumela ama-gradient namasignali ageleze ezitaki ezijulile, okwenza amanethiwekhi ajule kakhulu aqeqesheke.
Ihlanganisa ini ibhulokhi eyinsalela?
Ibhulokhi eyinsalela yengeza okokufaka x ekukhishweni okuguquliwe okungu-F(x), ngakho-ke isendlalelo sifunda okusele kuphela.
Yini egqugquzele indlela yokungena kumanethiwekhi emigwaqo emikhulu?
Amanethiwekhi omgwaqo waboleka umqondo wamasango afundiwe kuma-LSMs ukuze alawule ukuthi lungakanani ulwazi oluguqulwayo uma luqhathaniswa nolwenziwa.
Kunethiwekhi yomgwaqo omkhulu, isango lokuguqula i-T(x) lilawula ini?
Okukhiphayo ngu-F(x)*T(x) + x*(1 - T(x)), ngakho u-T unquma ibhalansi phakathi kokuguqula nokuthwala okokufaka.
Iyiphi i-architecture yesimanje encike ekuxhumekeni okuyinsalela ezungeze izakhi zayo ezingaphansi?
Ama-Transformer abeka ukuxhumana okuyinsalela kukho kokubili ukunaka kwawo kanye nama-sublayers adlulisela phambili njengedizayini evamile.