Dubawa
Momentum wani tweak ne zuwa zuriyar gradient wanda ke tara matsakaita masu gudana na gradients da suka gabata, yana barin haɓakawa da sauri ta birgima cikin kwaruruka da daskarewa juzu'i. Yana daya daga cikin dabarun horarwa da aka fi amfani da shi wajen zurfafa ilmantarwa.
Stochastic Gradient Descent tare da Momentum 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
Zauren zuriyar stochastic gradient (SGD) yana sabunta sigogi ta hanyar tafiya a gaba da ƙaramin gradient na yanzu. A cikin shimfidar wurare masu siffa kamar dogayen raƙuman kunkuntar, wannan zigzags a kan bangon tudu yayin da yake rarrafe tare da ƙasa mai laushi. Momentum, wanda Polyak ya shahara kuma daga baya ta Rumelhart da abokan aiki, yana gyara wannan ta hanyar kiyaye saurin motsi: kowane mataki yana haɗa sabon gradient tare da ɗan juzu'i (madaidaicin lokaci, sau da yawa 0.9) na saurin baya. Madaidaicin kwatancen gradient yana ƙarfafawa da haɓakawa, yayin da abubuwan da ke jujjuyawa sun soke wani ɓangare. Kwatankwacin jiki wani nauyi ne mai nauyi wanda ke jujjuyawa ƙasa: yana haɓaka sauri a madaidaiciyar kwatance kuma ba a iya jujjuya shi ta hanyar ƙarar hayaniya, yana ba da sauri, daidaitawa mai santsi fiye da vanilla SGD.
Fahimtar Fasaha
Sabuntawa yana kiyaye saurin v wanda aka sabunta azaman v = beta * v + gradient, sannan sigogi suna motsawa ta rage lokutan koyo v. Tare da ingantaccen beta na lokaci-lokaci, ingantaccen mataki a cikin madaidaiciyar shugabanci yana ƙaruwa da ƙima ta hanyar 1/(1 - beta); a beta = 0.9 wato kusan sau goma. Wannan a ilimin lissafi matsakaicin matsakaicin nauyi mai nauyi ne na gradients, yana daidaita ƙaramar ƙaramar ƙara yayin da yake kiyaye babbar hanyar gangara.
Ƙwararren Ƙwararrun Ƙwararru na Stochastic tare da Momentum
Momentum wani tweak ne zuwa zuriyar gradient wanda ke tara matsakaita masu gudana na gradients da suka gabata, yana barin haɓakawa da sauri ta birgima cikin kwaruruka da daskarewa juzu'i. Yana daya daga cikin dabarun horarwa da aka fi amfani da shi wajen zurfafa ilmantarwa. Stochastic Gradient Descent tare da Momentum 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 Stochastic Gradient Descent tare da Momentum azaman samfurin aiki, ba sifa ɗaya ba: ayyana sakamakon da ake so, fayyace 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 Stochastic Gradient Descent tare da Momentum 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
Horar da zurfafa hanyoyin sadarwa kamar ResNet, inda SGD tare da lokacin 0.9 shine madaidaicin girke-girke.
Ƙididdiga masu laushi masu laushi lokacin amfani da ƙananan ƙananan batches.
Gudun tudun mun tsira ta hanyar ɗaukar sauri ta yankuna masu faɗi.
Yin hidima azaman lokacin ɗorewa a cikin abubuwan ingantawa kamar Adam da RMSprop bambance-bambancen.
Hanyoyin Aiwatarwa
Stochastic Gradient Descent tare da Momentum a aikace
Horar da zurfafa hanyoyin sadarwa kamar ResNet, inda SGD tare da lokacin 0.9 shine madaidaicin girke-girke.
Horar da hanyoyin sadarwa mai zurfi kamar ResNet, inda SGD tare da ƙarfin 0.9 shine daidaitaccen girke-girke Ƙungiyoyi 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 gefe, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
Stochastic Gradient Descent tare da Momentum a aikace
Ƙididdiga masu laushi masu laushi lokacin amfani da ƙananan ƙananan batches.
Ƙididdiga masu sautin ƙararrawa lokacin amfani da ƙananan ƙananan ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'i, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
Stochastic Gradient Descent tare da Momentum a aikace
Gudun tudun mun tsira ta hanyar ɗaukar sauri ta yankuna masu faɗi.
Gudun tserewa tudu mai zurfi ta hanyar ɗaukar sauri ta cikin yankuna masu faɗi Ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ma'auni masu inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'i, da bin duk nasarorin samarwa da ƙimar kuskure akan lokaci.
Stochastic Gradient Descent tare da Momentum a aikace
Yin hidima azaman lokacin ɗorewa a cikin abubuwan ingantawa kamar Adam da RMSprop bambance-bambancen.
Yin hidima azaman lokaci mai ƙarfi a cikin masu haɓaka haɓakawa kamar Adam da RMSprop bambance-bambancen ƙungiyoyi yawanci suna samun sakamako mafi kyau lokacin da suka ayyana ƙofofin inganci a gaba, kiyaye hanyar haɓakar ɗan adam don shari'o'i, da bin duk nasarorin samarwa da tsadar kurakurai a kan 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 Stochastic Gradient Deescent tare da Momentum yana taimakawa kuma inda mafi sauƙi hanyoyin suka fi kyau.
Daftarin aiki inda Stochastic Gradient Deescent tare da Momentum yana 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.