Koyon Sabani
Koyon banbance-banbance yana koyar da abin ƙira don haɗa abubuwa iri ɗaya tare da ture abubuwa daban-daban a cikin sararin samaniya.
Dubawa
It matters because it lets AI learn powerful representations from mostly unlabeled data, powering image search, recommendations, and multimodal models.
Zurfafa nutsewa
Maimakon tsinkayar lakabin, koyo mai ban sha'awa yana koya ta hanyar kwatanta: idan aka ba da wani abu na anga, ana horar da ƙirar ta yadda madaidaitan 'tabbatacce' asashe kusa da shi a sararin sararin samaniya yayin da 'marasa daidai' ba su yi nisa ba. Girke-girke na yau da kullun da ake kulawa da kai (kamar SimCLR) yana haifar da tabbatacce ta hanyar ɗaukar haɓaka bazuwar hoto guda biyu ( amfanin gona, jitter launi, blur); duk abin da ke cikin tsari mara kyau ne. Samfurin taswirorin abubuwan da aka shigar zuwa vectors kuma asara yana ba da lada mai girma kamanci ga ma'aurata da ƙarancin kamanci ga sauran. Wannan yana samar da abubuwan haɗawa inda nisa ke nuna ma'ana, don haka aikin da ke ƙasa yana buƙatar ƙarancin lakabi. CLIP yana aiki da ra'ayi iri ɗaya a cikin tsarin, daidaita hotuna zuwa taken su.
Fahimtar Fasaha
Asarar dokin aiki shine InfoNCE (mai laushi akan maki kamanceceniya), sau da yawa tare da kamannin cosine da aka raba ta wurin zafin jiki wanda ke sarrafa yadda ake fifita inganci sosai. Mahimmanci, aikin yana inganta tare da ƙima da yawa, don haka manyan batches ko bankin ƙwaƙwalwar ajiya (kamar a cikin MoCo) suna ba su. Wasu hanyoyin kamar BYOL da SimSiam suna sauke abubuwan da ba su dace ba kuma a maimakon haka suna amfani da hanyar sadarwa mai sauri ko tasha-tsayawa don guje wa rugujewa, inda duk abubuwan haɗin gwiwa suka zama iri ɗaya.
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 Koyon Daban-daban
Koyon da ya bambanta yana haɗuwa tare da abin rufe fuska da samar da kulawar kai cikin maƙasudai masu haɗaka waɗanda ke ɗaukar kamanni na duniya da cikakkun bayanai. Babban tasirinsa shine multimodal: rubutu-rubutun hoto (kuma yanzu audio da bidiyo) abubuwan da ke haɗawa da bincike, haɓaka-ƙaramar haɓakawa, da rarrabuwar sifili, kuma sawun zai girma. Yi tsammanin ƙarin aiki akan rage sha'awar manyan batches, akan ingantacciyar haɓakawa da dabarun ma'adinai mara kyau, da kuma faɗaɗa tsarin kula da yankuna kamar hoton likitanci da jerin lokaci inda alamun ba su da tsada da tsada.
Aiwatar da Gaskiyar Duniya
CLIP koyon sararin rubutu-hoton da aka raba don ku iya bincika ɗakin karatu tare da nau'in jumla kamar 'kare akan skateboard'.
Gabatar da kashin bayan hangen nesa tare da SimCLR akan hotuna marasa lakabi, sannan daidaita shi don gano cuta tare da ƙaramin saiti mai lakabi kawai.
Gina samfur ko shawarwarin waƙa inda haɗa abubuwan da mai amfani ke so su zauna kusa da juna don dawo da makwabci mafi kusa.
Na'urorin tantance fuska da ke horar da kayan aiki don haka hotuna biyu na mutum ɗaya suna kusa kuma mutane daban-daban suna da nisa.
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
Ilimin Tarayya
Tambayoyin da ake yawan yi
What is Contrastive Learning?
Koyon banbance-banbance yana koyar da abin ƙira don haɗa abubuwa iri ɗaya tare da ture abubuwa daban-daban a cikin sararin samaniya. Yana da mahimmanci saboda yana ƙyale AI ya koyi wakilci mai ƙarfi daga galibin bayanan da ba a lakafta su ba, binciken hoto mai ƙarfi, shawarwari, da ƙira mai yawa.
Menene ainihin makasudin koyo na bambanta?
Koyon da ya bambanta yana siffanta sarari don haka nau'i-nau'i masu dacewa suna kusa kuma nau'i-nau'i marasa dacewa suna da nisa.
A cikin hanyar hoto mai kulawa da kai kamar SimCLR, ta yaya ake ƙirƙira ingantattun biyu?
SimCLR yana samar da ingantattun abubuwa daga ingantattun ra'ayoyi guda biyu na hoto ɗaya, tare da wasu hotuna a cikin tsari suna aiki azaman mara kyau.
Wanne aikin hasara ya fi alaƙa da koyo na bambanta?
InfoNCE, softmax akan maki kamanceceniya tare da zafin jiki, shine daidaitaccen maƙasudin banbanta.
Me yasa hanyoyin kamar MoCo suke amfani da bankin ƙwaƙwalwar ajiya ko jerin gwano?
Koyon bambance-bambancen yana amfana daga munanan abubuwa da yawa; jerin gwano yana ba su yayin da ake iya sarrafa girman batch.
Wace matsala BYOL da SimSiam ke kiyayewa musamman ba tare da amfani da abubuwan da ba su dace ba?
Ba tare da munanan abubuwa ba, ƙirar zata iya taswirar komai da sauƙi zuwa vector iri ɗaya; maƙasudin tsayawa-gradient da ƙwazo suna hana wannan rugujewar.