Dubawa
Neural Architecture Search (NAS) yana sarrafa ƙira na tsarin hanyar sadarwa na jijiyoyi - barin algorithms, ba mutane ba, yanke hukunci nawa yadudduka, menene ayyuka, da yadda suke haɗawa. Yana juya ƙirar ƙira zuwa matsalar bincike, gano gine-ginen gine-ginen da za su iya yin hamayya ko doke waɗanda aka yi da hannu.
Neural Architecture Search yana zaune a cikin ainihin kayan aikin AI. Lokacin da kuka fahimce shi, sauran batutuwan AI sun zama masu sauƙi don kimantawa da kwatantawa.
Zurfafa nutsewa
Zayyana hanyoyin sadarwar jijiyoyi da hannu yana jinkirin kuma ya dogara da basirar ƙwararru. NAS ta maye gurbin hakan tare da bincike kan ƙayyadaddun sarari na yuwuwar gine-gine, jagorar dabarar da ke ba da shawarar ƴan takara da hanyar ƙididdige yadda kowannensu yake da kyau. NAS na farko ya yi amfani da koyo na ƙarfafawa ko algorithms na juyin halitta, horar da dubban hanyoyin sadarwar ɗan takara - wanda ya shahara da tsadar dubban kwanakin GPU. Ci gaban binciken ya kasance mai rahusa: rabon nauyi ('supernet' wanda ya ƙunshi duk 'yan takara) da kuma hanyoyi daban-daban kamar DARTS, waɗanda ke shakata da zaɓaɓɓun zaɓi cikin masu ci gaba don haka zuriyar gradient na iya haɓaka gine-gine da nauyi tare. NAS ta samar da ingantattun samfura irin su EfficientNet da yawancin hanyoyin sadarwa na wayar hannu da ake amfani da su a samarwa.
Fahimtar Fasaha
NAS tana da abubuwa uku: sararin bincike (tubalan gini da yadda zasu iya haɗawa), dabarun nema (ƙarfafa koyo, juyin halitta, binciken bazuwar, ko tushen gradient), da hanyar kimanta aiki. Horar da kowane ɗan takara zuwa haɗin kai yana da tsada mai tsada, don haka NAS tana amfani da gajerun hanyoyi: raba nauyi a cikin babban abin dogaro, ƙarancin aminci (ƙaɗan zamani, ƙananan bayanai), da kuma masu hasashen koyo. DARTS yana yin zaɓin zaɓi na 'wanne aiki ke zuwa nan' ci gaba ta hanyar gaurayawan masu nauyi mai nauyi, yana haɓakawa tare da gradients, sannan ya ɓarna sakamakon zuwa gine-gine na ƙarshe.
Jagoran Binciken Gine-gine na Jijiya
Neural Architecture Search (NAS) yana sarrafa ƙira na tsarin hanyar sadarwa na jijiyoyi - barin algorithms, ba mutane ba, yanke hukunci nawa yadudduka, menene ayyuka, da yadda suke haɗawa. Yana juya ƙirar ƙira zuwa matsalar bincike, gano gine-ginen gine-ginen da za su iya yin hamayya ko doke waɗanda aka yi da hannu. Neural Architecture Search yana zaune a cikin ainihin kayan aikin AI. Lokacin da kuka fahimce shi, sauran batutuwan AI sun zama masu sauƙi don kimantawa da kwatantawa. Don gina zurfin fahimta, bi Neural Architecture Search a matsayin samfurin aiki, ba fasali ɗaya ba: ayyana sakamakon da ake so, bayyana zato, da raba abin da tsarin zai iya yi da dogaro daga abin da har yanzu yana buƙatar yanke hukunci na ƙwararru.
A aikace, ƙungiyoyi masu ƙarfi masu amfani da Neural Architecture Search suna gina ƙira mai ƙarfi da farko, sannan taswirar waɗannan ƙirar zuwa ƙaƙƙarfan samarwa. Suna rubuta ƙayyadaddun ƙa'idodin nasara, gwaji akan bayanan gaskiya da gudanawar aiki, da jujjuyawar bisa ga tsarin gazawar da aka lura maimakon cin nasara na lokaci ɗaya. Wannan shine inda fahimtar ka'idar ta juya zuwa iyawa mai dorewa a cikin samfura, manufofi, da ayyuka.
Yana taimaka muku keɓance bayyanannen da'awar fasaha daga harshen talla. A lokaci guda, Ƙungiyoyi daban-daban na iya amfani da kalmar iri ɗaya daban, don haka ayyana iyawarsa da wuri. Hanyar da ta fi dacewa ita ce haɗa saurin gwaji tare da horon gudanarwa: gudanar da matukin jirgi, kama shaida, buga rajistan ayyukan yanke shawara, da ci gaba da sabunta abubuwan tsaro kamar yadda halayen ƙira, tsammanin mai amfani, da buƙatun tsari ke tasowa.
Dabarun Tasiri
Yana taimaka muku keɓance bayyanannen da'awar fasaha daga harshen talla.
Yana taimaka muku keɓance bayyanannen da'awar fasaha daga harshen talla. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Kuna iya yin mafi kyawun tambayoyin aiwatarwa kafin kashe kuɗi ko lokaci.
Kuna iya yin mafi kyawun tambayoyin aiwatarwa kafin kashe kuɗi ko lokaci. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Ƙungiyoyin da ke da fahimtar juna suna yin mafi kyawun samfura, manufofi, da yanke shawara na koyo.
Ƙungiyoyin da ke da fahimtar juna suna yin mafi kyawun samfura, manufofi, da yanke shawara na koyo. A cikin ƙawance masu inganci, ana fassara wannan zuwa ƙa'idodin aiki waɗanda za a iya aunawa, iyakokin ikon mallaka, da kuma bita-da-kullin bita don ƙungiyoyi su iya haɓaka kwarin gwiwa a maimakon ɓata shakku.
Aiwatar da Gaskiyar Duniya
Iyalin EfficientNet Google, wanda tsarin gine-ginen da aka sikensa ya gudana ta hanyar bincike mai sarrafa kansa don samun daidaito-kowace-FLOP.
Samfuran hangen nesa ta wayar hannu (kamar MnasNet) an bincika tare da latency akan ainihin wayar a cikin madauki don saurin kan na'urar.
Hardware-sani NAS wanda ke keɓance hanyar sadarwa zuwa ƙayyadaddun ƙwaƙwalwar ajiyar gaggawa da ƙididdige iyaka.
Kafofin watsa labaru na AutoML waɗanda ke barin waɗanda ba ƙwararru ba su sami ƙirar ƙira ta al'ada ta hanyar bincika gine-gine ta atomatik.
Hanyoyin Aiwatarwa
Neural Architecture Search a aikace
Iyalin EfficientNet Google, wanda tsarin gine-ginen da aka sikensa ya gudana ta hanyar bincike mai sarrafa kansa don samun daidaito-kowace-FLOP.
Iyalin EfficientNet na Google, wanda tsarin gine-gine masu ƙima ya gudana ta hanyar bincike ta atomatik don ingantaccen daidaito-kowane-Ƙungiyoyin FLOP yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in ƙira, da bin diddigin nasarorin samarwa da tsadar kuskure akan lokaci.
Neural Architecture Search a aikace
Samfuran hangen nesa ta wayar hannu (kamar MnasNet) an bincika tare da latency akan ainihin wayar a cikin madauki don saurin kan na'urar.
Samfuran hangen nesa ta wayar hannu (kamar MnasNet) da aka bincika tare da latency akan wayar ta ainihi a cikin madauki don saurin kan na'ura Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don ƙararraki, da kuma bin diddigin nasarorin samarwa da ƙimar kuskure akan lokaci.
Neural Architecture Search a aikace
Hardware-sani NAS wanda ke keɓance hanyar sadarwa zuwa ƙayyadaddun ƙwaƙwalwar ajiyar gaggawa da ƙididdige iyaka.
Hardware-sane NAS wanda ke daidaita hanyar sadarwa zuwa takamaiman ƙwaƙwalwar mai haɓakawa da ƙididdige iyakoki Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙima masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
Neural Architecture Search a aikace
Kafofin watsa labaru na AutoML waɗanda ke barin waɗanda ba ƙwararru ba su sami ƙirar ƙira ta al'ada ta hanyar bincika gine-gine ta atomatik.
Kafofin watsa labaru na AutoML waɗanda ke barin waɗanda ba ƙwararru ba su sami ƙirar ƙira ta al'ada ta hanyar bincika gine-gine ta atomatik Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'in gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
Hatsari & Tsare-tsare
Ƙungiyoyi daban-daban na iya amfani da kalmar iri ɗaya daban, don haka ayyana iyaka da wuri.
Alamomi na iya yin kama da ƙarfi yayin da aikin zahirin duniya bai yi daidai ba.
Yin watsi da ingancin bayanai da tsare-tsaren kimantawa galibi yana haifar da sakamako mara ƙarfi.
Taswirar Hanya
Fara da ma'anar harshe a sarari na sakamakon da kuke buƙata.
Fara da ma'anar harshe a sarari na sakamakon da kuke buƙata. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Zaɓi ma'aunin nasara ɗaya da yanayin gazawa ɗaya kafin gwaji.
Zaɓi ma'aunin nasara ɗaya da yanayin gazawa ɗaya kafin gwaji. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Gudun ƙaramin matukin jirgi tare da bayanan wakilci, ba saitin demo da aka goge ba.
Gudun ƙaramin matukin jirgi tare da bayanan wakilci, ba saitin demo da aka goge ba. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.
Daftarin aiki inda Neural Architecture Search ke taimakawa kuma inda mafi sauƙi hanyoyin suka fi kyau.
Daftarin aiki inda Neural Architecture Search ke taimakawa kuma inda mafi sauƙi hanyoyin suka fi kyau. Ɗauki kowane mataki azaman ƙofar shaida: idan ba a cika sharuɗɗa ba, dakatar da fitar, rufe tazarar, sannan kawai faɗaɗa amfani.