Nesterov Accelerated Gradient
Nesterov Accelerated Gradient (NAG) shine mafi wayo nau'i na hanzari wanda ke hango gaba kafin yin lissafin gradient, yana ba shi kyakkyawan hangen nesa.
Dubawa
It often converges faster and more stably than classical momentum.
Zurfafa nutsewa
Ƙwararren lokaci yana ƙididdige gradient a halin yanzu, sannan yana ƙara saurin da aka tara. Fahimtar Nesterov, daga aikin Yurii Nesterov na 1983 akan haɓakar haɓakar haɓakawa, shine da farko ɗaukar matakin gaggawa zuwa wurin duba gaba kuma a kimanta gradient a wurin. Wannan yana bawa mai haɓaka damar hango inda kuzarin ke ɗauke da shi kuma ya yi amfani da gyara kafin yin harbi, kamar mai gudu wanda ya ga lanƙwasa gaba kuma ya daidaita da wuri maimakon bayan. Don matsalolin santsi mai santsi Hanyar Nesterov tana samun ingantacciyar hanyar haɗin kai na oda 1/k^2 a cikin adadin matakai, ingantaccen haɓakawa akan 1/k na ƙwalƙwalwar ƙarami. A cikin zurfafa ilmantarwa ana bayar da shi azaman zaɓi mai sauƙi a yawancin tsarin aiki kuma akai-akai yana haifar da ɗan sauri, ƙarancin horon oscillatory fiye da daidaitaccen lokaci a daidaitaccen ƙima ɗaya.
Fahimtar Fasaha
Bambancin maɓalli shine inda ake kimanta gradient. Daidaitaccen lokacin yana amfani da gradient a sigogi na yanzu; Nesterov yana kimanta shi a matsayin gaban-gaba params rage koyo ƙimar lokutan beta saurin. Wannan gradient mai tsammanin yana ƙara daidai daidai gwargwado ga canji na gradient, damping overshoot kusa da mai lankwasa minima. A aikace ginshiƙai suna aiwatar da sabuntawar algebra da aka sake tsarawa don haka ƙarin farashi akan na yau da kullun ba shi da komai.
Dabarun Tasiri
Shawarwari masu haske
Yana taimaka muku keɓance bayyanannen da'awar fasaha daga harshen talla.
Kudin da kasafin kuɗi
Kuna iya yin mafi kyawun tambayoyin aiwatarwa kafin kashe kuɗi ko lokaci.
Ƙungiya da aikin aiki
Ƙungiyoyin da ke da fahimtar juna suna yin mafi kyawun samfura, manufofi, da yanke shawara na koyo.
Makomar Nesterov Accelerated Gradient
Nesterov lokacin tuta tuta ce da aka gina a cikin masu ingantawa a duk faɗin PyTorch, TensorFlow, da sauransu, kuma bambance-bambancen Nesterov na Adam (Nadam) ya haɗu da kama-gaba tare da daidaitawa. Ka'idar hanzarinta na ci gaba da zaburar da bincike cikin hanyoyin ƙwaƙƙwalwa, sake farawa tsare-tsare, da kuma nazarin dalilin da ya sa haɓakawa ke taimakawa a cikin hanyoyin sadarwa masu zurfi marasa ma'ana. Yi tsammanin kallon-style Nesterov zai kasance tsoho na gama gari na shuru don masu aikin da ke bi cikin sauri, daidaitawa.
Aiwatar da Gaskiyar Duniya
Ƙaddamar da nesterov= Tuta ta gaskiya a cikin PyTorch ko TensorFlow SGD don sauri, horo mai santsi.
Haɓaka haɗuwa akan matsalolin santsi mai santsi kamar babban koma bayan dabaru.
Rage overshoot da oscillation lokacin horar da cibiyoyin sadarwa mai zurfi kusa da minima mai kaifi.
Ƙaddamar da Nadam ingantawa, wanda ke ƙara Nesterov kallon gaba ga Adam.
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.
Zaɓi ma'aunin nasara ɗaya da yanayin gazawa ɗaya kafin gwaji.
Gudun ƙaramin matukin jirgi tare da bayanan wakilci, ba saitin demo da aka goge ba.
Daftarin aiki inda Nesterov Accelerated Gradient ke taimakawa kuma inda mafi sauƙi hanyoyin sun fi kyau.
Ci gaba da Bincike
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Jagora na gaba
Saukowar Gradient
Tambayoyin da ake yawan yi
What is Nesterov Accelerated Gradient?
Nesterov Accelerated Gradient (NAG) shine mafi wayo nau'i na hanzari wanda ke hango gaba kafin yin lissafin gradient, yana ba shi kyakkyawan hangen nesa. Sau da yawa yana haɗuwa da sauri da ƙarfi fiye da lokacin al'ada.
Menene ma'anar ma'anar Nesterov Accelerated Gradient idan aka kwatanta da lokacin al'ada?
Nesterov ya fara amfani da matakin gaggawa don isa wurin duba gaba, sannan ya lissafta gradient a wurin, yana ba da gyare-gyaren da ake tsammani.
Wanne ƙima mai ƙima ta hanyar Nesterov ta cimma a kan matsaloli masu santsi?
Hanyar Nesterov ta haɓaka tana kaiwa mafi kyawun ƙimar 1/k^2 don maƙasudin maƙasudi masu santsi, da sauri fiye da 1/k zuriyar gradient.
Wanene ya fara gabatar da wannan hanzarin hanyar gradient?
Yurii Nesterov ya buga hanyar saurin gradient a cikin 1983 don inganta haɓakawa.
Me yasa gradient mai kallon gaba ke taimakawa kusa da minima mai lankwasa?
Ta hanyar kimanta gradient inda motsi ke tafiya, Nesterov na iya gyara abin da ke gabatowa a baya fiye da lokacin al'ada.
A aikace, ta yaya farashin lissafin Nesterov lokacin da aka kwatanta da na zamani?
Tsarin tsari yana aiwatar da tsarin da aka sake tsarawa don haka Nesterov ya ƙara ƙarin farashi mara tsada fiye da na yau da kullun.