Hanyoyin Sadarwar Babbar Hanya da Tsallake Haɗin
Tsallake haɗin kai ya ba da damar bayanai su wuce yadudduka, kuma hanyoyin sadarwar babbar hanya sun kasance farkon sigar wannan ra'ayin.
Dubawa
They solve the problem of training very deep networks, which paved the way for ResNets and modern deep learning.
Zurfafa nutsewa
Kafin tsallake haɗin yanar gizo, tara yadudduka da yawa ya sa cibiyoyin sadarwa sun fi wahala, ba mafi kyau ba, don horarwa saboda gradients sun ɓace kuma sigina sun lalace. Cibiyoyin hanyoyin sadarwa, waɗanda aka gabatar a cikin 2015, sun ƙara ƙofofin da aka koya waɗanda ke sarrafa yawan shigar da Layer ɗin ke canzawa tare da ɗaukar su kai tsaye, wahayi daga LSTM gating. Ba da daɗewa ba, ResNets ya sauƙaƙa wannan a cikin ragowar haɗin gwiwa, inda Layer ke koyon aikin saura kuma ana ƙara fitar da shi zuwa shigar da shi ta hanyar gajeriyar hanya ta ainihi. Waɗannan gajerun hanyoyin suna haifar da hanyoyi kai tsaye don gradients don gudana a baya, yana ba da damar horar da cibiyoyin sadarwa ɗaruruwa ko ma zurfin yadudduka dubu. Tsallake haɗin kai yanzu yana bayyana a ko'ina, gami da U-Nets, DeenseNets, da masu wuta.
Fahimtar Fasaha
Sauran toshe yana ƙididdige fitarwa = F(x) + x, don haka cibiyar sadarwa tana buƙatar koyon ragowar F(x) maimakon cikakken taswira. A lokacin yaɗa baya, ƙarar shaidar shaidar ta wuce gradients ta hanyar da ba ta canzawa, karkatawar ɓatawar gradients. Cibiyoyin hanyoyin sadarwa sun haɗa wannan tare da ƙofar canza T kuma suna ɗaukar ƙofar, fitarwa = F(x)*T (x) + x*(1 - T (x)), inda ake koyo T kuma yana tsakanin 0 da 1.
Dabarun Tasiri
Kudin da kasafin kuɗi
Hukunce-hukuncen gine-gine suna haifar da aiki da tsadar aiki na shekaru.
Shawarwari masu haske
Ilimin fasaha yana taimaka wa ƙungiyoyi su zaɓi tari mai kyau, ba kawai sabon abu ba.
Kula da inganci
Zaɓuɓɓukan injiniya mafi kyau suna rage abin dogaro a cikin samarwa.
Makomar Hanyoyin Sadarwar Hanya da Tsallake Haɗin
Tsallake haɗin kai yanzu tsoho ne tubalin ginin maimakon dabarar zaɓi. Kowane taswira yana amfani da ragowar haɗin kai a kusa da hankalinsa da masu tallatawa na gaba, kuma sun kasance masu mahimmanci a cikin samfuran watsawa, ɓangarori U-Nets, da cibiyoyin sadarwar hoto. Bincike yana bincika mafi kyawun daidaitawa na daidaitawa, ƙirar hanyoyin koyo na saura, da kuma gine-ginen da za'a iya juyar da su waɗanda ke sake lissafin kunnawa don adana ƙwaƙwalwar ajiya. Babban ra'ayin kiyaye sigina a cikin zurfin zai dawwama yayin da samfuri ke girma.
Aiwatar da Gaskiyar Duniya
ResNet-50 da ResNet-152 suna amfani da ragowar gajerun hanyoyi don horar da masu rarraba hoto mai zurfi.
Masu canji da manyan nau'ikan harshe sun haɗa haɗin haɗin gwiwa a kusa da hankali da shimfidar ciyarwa
Haɗin tsallake-tsallake na U-Net sun wuce dalla-dalla dalla-dalla daga encoder zuwa dikodi don madaidaicin sashin hoto na likita.
DenseNet yana haɗa kowane Layer zuwa duk yadudduka na baya, yana ƙarfafa fasalin sake amfani da sauƙi da sauƙi.
Hatsari & Tsare-tsare
Haɓaka ma'auni ɗaya na iya ɓoye manyan raunin tsarin.
Sau da yawa ana raina kayan more rayuwa da kuma kuɗin kulawa.
Tsaro da gibin lura na iya girma yayin da tsarin ke ƙara haɓaka.
Taswirar Hanya
Ƙayyade latency, inganci, da maƙasudin farashi kafin aiwatarwa.
Alamar ma'auni a ƙarƙashin ainihin kaya da yanayin bayanai.
Kula da kayan aiki don kurakurai, ɗigo, da tasirin mai amfani.
Shirya bijirowa da hanyoyin mayar da martani kafin sikeli.
Ci gaba da Bincike
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Jagora na gaba
Siamese Networks da Asarar Sau Uku
Tambayoyin da ake yawan yi
What is Highway Networks and Skip Connections?
Tsallake haɗin kai ya ba da damar bayanai su wuce yadudduka, kuma hanyoyin sadarwar babbar hanya sun kasance farkon sigar wannan ra'ayin. Suna magance matsalar horar da hanyoyin sadarwa masu zurfi, wanda ya share hanya don ResNets da zurfin ilmantarwa na zamani.
Wace babbar matsala ce ta tsallake haɗin gwiwa ke taimakawa a cikin hanyoyin sadarwa masu zurfi?
Ta hanyar samar da hanyoyi kai tsaye, tsallake haɗin gwiwa yana barin gradients da sigina su gudana ta cikin tudu mai zurfi, suna sa hanyoyin sadarwa masu zurfi su sami horo.
Menene ainihin ragowar toshe ke ƙididdigewa?
Ragowar toshe yana ƙara shigarwar x zuwa fitarwar da aka canza F(x), don haka Layer yana koyon ragowar kawai.
Menene ya ƙarfafa tsarin gating a cikin hanyoyin sadarwa na babbar hanya?
Cibiyoyin hanyoyin sadarwa sun aro ra'ayin kofofin koyo daga LSTMs don sarrafa adadin bayanai da ake canza su tare da aiwatar da su.
A cikin hanyar sadarwa ta babbar hanya, menene madaidaicin ƙofar T(x) ke sarrafa?
Abin da ake fitarwa shine F (x)*T (x) + x*(1 - T (x)), don haka T yana yanke hukunci tsakanin canzawa da ɗaukar shigarwar.
Wanne gine-gine na zamani ya dogara da ragowar haɗin gwiwa a kusa da masu sa hannun jarinsa?
Masu canza canji suna sanya ragowar haɗin kai a kusa da duka hankalinsu da masu ciyarwa na gaba a matsayin madaidaicin ƙira.