Cibiyoyin sadarwa na capsule
Cibiyoyin Capsule gine-gine ne na jijiyoyi waɗanda ke ƙunshe neurons zuwa cikin 'capsules' waɗanda ke fitar da vectors ɗin da ke ɓoye duka ko fasalin ya wanzu da matsayinsa (matsayi, daidaitawa, sikelin).
Dubawa
They aim to fix a core blindness in standard convolutional networks: losing track of spatial relationships between parts.
Zurfafa nutsewa
Geoffrey Hinton, Sara Sabour, da Nicholas Frosst suka gabatar a cikin 2017, hanyoyin sadarwa na capsule suna maye gurbin sikelin neuron tare da vector. Tsawon vector yana wakiltar yuwuwar wani mahaluži (kamar ido ko hanci) ya kasance, yayin da yanayin yanayinsa ke ɓoye sigogi. Ƙananan matakan capsules suna tsinkaya matsayi na babban matakin capsules ta hanyar canza matrices, da kuma wani tsari da ake kira dynamic routing-by-agreement yana yanke shawarar wane tsinkaya da za a dogara. When multiple part-capsules agree on the same whole, routing strengthens that connection. Asalin CapsNet ya sami sakamako mai ƙarfi akan MNIST kuma ya kasance mai ƙarfi sosai ga jujjuya lambobi da canje-canje na affine, yana magance matsalar Picasso'inda CNNs ke karɓar fasalin fuskar fuska a matsayin ingantaccen fuska.
Fahimtar Fasaha
Maɓalli na hanya shine 'squash' rashin daidaituwa wanda ke raguwa gajerun hanyoyi zuwa sifili da dogayen vector zuwa tsayi ɗaya, don haka girman vector yana karantawa azaman yuwuwar. Motsawa mai ƙarfi sannan yana aiwatar da ƴan ƴan ƴan ƴan-sanyi na matakin yarjejeniya mai nauyi mai nauyi: kowane ƙaramin capsule yana aika hasashensa sama, kuma haɗin haɗin haɗin gwiwa yana ƙaruwa don mafi girman capsules waɗanda fitowar su ta daidaita (ta hanyar ɗigo samfurin) tare da wannan hasashen. Wannan yana maye gurbin max-pooling, yana adana ainihin bayanan sarari maimakon jefar da shi.
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 Capsule Networks
Cibiyoyin sadarwa na Capsule sun kasance mafi shugabanci na bincike fiye da daidaitattun da aka tura, musamman saboda tsarin tafiyar da aiki yana da tsada mai tsada kuma yana da ma'auni mara kyau ga manyan hotuna kamar ImageNet. Daga baya aiki ya binciko EM routing (Matrix Capsules) da kuma tsarin kai-da-kai don inganta inganci. Yayin da sha'awar daidaitawa, ingantaccen samfurin, da tsarin tsarin juzu'i na girma, ra'ayoyin capsule suna ci gaba da yin tasiri kan bincike, gami da shawarar GLOM na Hinton daga baya, kamar yadda masu canji suka mamaye hangen nesa na yau da kullun.
Aiwatar da Gaskiyar Duniya
Rarraba lambobi da aka rubuta da hannu akan MNIST yayin da ake sake gina abin da aka shigar daga ma'auni na capsule, yana nuna sigogi masu mahimmanci.
Rarraba lambobi masu haɗuwa biyu (aiki na MultiMNIST) ta hanyar rarraba pixels na wane mahaluƙi ne.
Binciken hoto na likitanci ta amfani da capsules don gano nodules na huhu ko ciwace-ciwacen kwakwalwa inda dangantakar yanki gaba ɗaya ke da mahimmanci.
Gane abubuwa daga ra'ayi na sabon labari tare da ƴan misalan horarwa, yin amfani da ginanniyar madaidaicin ra'ayi na gine-gine.
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
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the Capsule Networks quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Jagora na gaba
Hanyoyin Sadarwar Babbar Hanya da Tsallake Haɗin
Tambayoyin da ake yawan yi
What is Capsule Networks?
Cibiyoyin Capsule gine-gine ne na jijiyoyi waɗanda ke ƙunshe neurons zuwa cikin 'capsules' waɗanda ke fitar da vectors ɗin da ke ɓoye duka ko fasalin ya wanzu da matsayinsa (matsayi, daidaitawa, sikelin). Suna nufin gyara ainihin makanta a daidaitattun hanyoyin sadarwa na juyin juya hali: rasa hanyar alaƙar sararin samaniya tsakanin sassa.
A cikin hanyar sadarwa na capsule, menene TSORO na fitowar capsule ke wakilta?
Tsawon vector (magnitude) yana ɓoye yuwuwar kasancewar mahaluƙi, yayin da daidaitawarsa ke sanya sigogi kamar matsayi da juyawa.
Wace matsala ce ta daidaitattun CNNs aka tsara hanyoyin sadarwar capsule musamman don magancewa?
CNNs tare da max-pooling suna zubar da madaidaicin alaƙar sararin samaniya, don haka fuskar da ba ta dace ba har yanzu tana iya yin nasara sosai. Wannan shine 'matsalar Picasso' capsules suna ƙoƙarin gyarawa.
Menene sunan algorithm wanda ke yanke shawarar waɗanne ƙananan matakan capsules ke haɗuwa da waɗanne capsules masu girma?
Tsayawa ta hanyar yarjejeniya akai-akai yana ƙarfafa haɗin kai tsakanin capsules waɗanda hasashensu ya yarda da mafi girman fitarwar capsule.
Wanene ya gabatar da cibiyar sadarwar capsule tare da motsi mai ƙarfi a cikin 2017?
Takardar 2017 'Dynamic Routing Tsakanin Capsules' Sara Sabour, Nicholas Frosst, da Geoffrey Hinton ne suka rubuta.
Menene manufar aikin 'squash' a cikin hanyar sadarwa na capsule?
Ƙaƙƙarfan ƙaƙƙarfan ƙaƙƙarfan ƙaƙƙarfan ƙaƙƙarfan ƙaƙƙarfan ra'ayi yana raguwa zuwa ga sifili kuma yana ɗaukar dogayen vectors kusa da tsayi ɗaya, don haka ana iya karanta girma a matsayin yuwuwar yayin da ake kiyaye daidaitawa.