Kwiga Byimbitse
Kwiga kwimbitse kwa Bayesian bifata uburemere bwurusobe rwimitsi nkibisaranganya aho kuba imibare ihamye, kuburyo icyitegererezo gishobora kuvuga uburyo cyizeye.
Incamake
That matters for high-stakes uses — medicine, self-driving cars, finance — where 'I'm not sure' is a vital answer.
Kwibira cyane
Umuyoboro usanzwe wa neural wiga agaciro kamwe kuri buri buremere; urusobe rw'imitsi ya Bayesian ahubwo rwiga gukwirakwiza kuri buri buremere, rufata ukutamenya neza agaciro keza. Ubuhanuzi buhinduka impuzandengo y'urusobe rwinshi rushoboka, rusanzwe rutanga icyizere, ntabwo ari igisubizo cyingingo gusa. Kuberako kubara neza neza bidashobora gukururwa miriyoni yuburemere, abimenyereza bakoresha ibigereranyo: gutandukanya ibintu bitandukanye (bihuye no kugabana byoroheje kugana inyuma yukuri), urunigi rwa Markov Monte Carlo (urugero rwibiro byerekana uburemere), cyangwa amayeri ahendutse nka Monte Carlo yataye ishuri, asiga guta ishuri mugihe cyibizamini kandi akoresha umuyoboro inshuro nyinshi. Kwishura byateganijwe neza - icyitegererezo kimenya igihe ibyinjijwe bitamenyerewe (hanze-yo kugabura) kandi birashobora kubishyira ibendera aho kubitekerezaho.
Ubushishozi
Uburyo bwa Bayesian butandukanya ibintu bibiri bidashidikanywaho: aleatoric (urusaku rudasubirwaho mumibare) hamwe nicyorezo (ubujiji bwikitegererezo ubwabwo, amakuru menshi ashobora kugabanya). Impinduka zinyuranye zisubiramo igereranya ryimbere nkuburyo bwiza, kugabanya itandukaniro rya KL hagati yikigereranyo ninyuma nyayo ukoresheje intego ya ELBO. Amagambo afatika, Monte Carlo yataye ishuri, asobanura ko abata ishuri ari umwanzuro ugereranije wa Bayesian: koresha umuyoboro N inshuro hamwe nabataye akazi kandi ikwirakwizwa ryibisubizo rigereranya icyorezo kidashidikanywaho.
Ingaruka z'Ingamba
Ibyemezo bisobanutse
Iragufasha gutandukanya ibyifuzo bya tekiniki bisobanutse nururimi rwo kwamamaza.
Igiciro na bije
Urashobora kubaza ibibazo byiza byo gushyira mubikorwa mbere yo gukoresha amafaranga cyangwa igihe.
Itsinda hamwe nakazi
Amakipe asangiye ibitekerezo akora ibicuruzwa byiza, politiki, nibyemezo byo kwiga.
Ejo hazaza ha Bayesian Kwiga Byimbitse
Mu gihe AI igenda yinjira mu nzego z’umutekano, ibisabwa ku kigereranyo cyizewe kidashidikanywaho biriyongera, bigatuma ibitekerezo bya Bayesiya biva mu bushakashatsi mu bikorwa. Witegereze ibigereranyo bihendutse (ikiguzi cyuzuye cya Bayesiya ku gipimo ni imbogamizi nyamukuru), gukoresha cyane amatsinda yimbitse nka pragmatique ihagaze, hamwe no guhuza hamwe na moderi nini kuri ibendera rya salusitike hamwe ninjiza zitamenyerewe. Abagenzuzi mubuvuzi hamwe na sisitemu yigenga barashaka cyane kwigirira icyizere, bigatuma ubumenyi bwimbitse butazi neza ibyiringiro byiyongera aho kuba icyicaro.
Gushyira mu bikorwa Isi
Sisitemu yo gufata amashusho yubuvuzi ihuza urwego rwicyizere kuri buri kwisuzumisha hamwe ninzira zidasobanutse kuri radiologue yumuntu.
Ubwikorezi bwo gutwara ibendera bwerekana ikintu utamenyereye nkudashidikanya cyane kuburyo imodoka igenda yitonze aho kuyizera nabi.
Kumenya ibicuruzwa bitagabanijwe muburiganya cyangwa sisitemu yumutekano, aho amakuru adasanzwe agomba gutera amakenga aho gufata icyemezo cyizewe.
Bayesian optimizasiyo ihuza ibiyobyabwenge cyangwa hyperparameter yiga imashini muguhuza ubushakashatsi bwakarere kataramenyekana neza nibyiza bizwi.
Ingaruka & Kurinda
Amakipe atandukanye arashobora gukoresha ijambo rimwe muburyo butandukanye, sobanura intera hakiri kare.
Ibipimo birashobora kugaragara bikomeye mugihe imikorere-yisi-itaringaniye.
Kwirengagiza ubuziranenge bwamakuru na gahunda yo gusuzuma akenshi bitanga ibisubizo byoroshye.
Igishushanyo mbonera
Tangira nururimi rusobanutse rwibisubizo ukeneye.
Toranya intsinzi imwe hamwe nuburyo bumwe bwo gutsindwa mbere yo kwipimisha.
Koresha umuderevu muto hamwe namakuru ahagarariye, ntabwo ari demo yashizweho.
Inyandiko aho Bayesian Kwiga Byimbitse bifasha nuburyo bworoshye bworoshye.
Komeza Ubushakashatsi
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Ubuyobozi bukurikira
Kwiga Byimbitse
Ibibazo bikunze kubazwa
What is Bayesian Deep Learning?
Kwiga kwimbitse kwa Bayesian bifata uburemere bwurusobe rwimitsi nkibisaranganya aho kuba imibare ihamye, kuburyo icyitegererezo gishobora kuvuga uburyo cyizeye. Ibyo bifite akamaro kanini gukoresha - ubuvuzi, imodoka zitwara wenyine, imari - aho 'Sinzi neza' ni igisubizo cyingenzi.
Nigute urusobe rw'imitsi yo muri Bayesiya ifata uburemere bwarwo butandukanye nubusanzwe?
Imiyoboro ya Bayesian yiga gukwirakwiza hejuru yuburemere, ifata ukutamenya neza agaciro kabo, aho kugereranya ingingo imwe.
Ni izihe nyungu zifatika zuburyo bwa Bayesiya bwo kwiga byimbitse?
Mugereranije hejuru yimiyoboro myinshi yemewe, moderi ya Bayesian irashobora kwerekana ikizere hamwe nibendera ryibintu bitamenyerewe aho gukeka buhumyi.
Niki gitandukanya icyorezo cya epistemic kutamenya neza aleatoric?
Icyorezo kidashidikanywaho gikomoka ku cyitegererezo kitabonye amakuru ahagije kandi kigabanuka hamwe namakuru menshi; aleatoric kutamenya neza ni urusaku rudasanzwe mumibare ubwayo.
Ni ukubera iki ibigereranyo nkibisobanuro bitandukanye cyangwa MCMC bikenewe?
Kubara inyuma yukuri gukwirakwizwa hejuru yurusobekerane rwinshi rwurusobe ntirushoboka, kuburyo rero uburyo bwo kugereranya burabigereranya aho.
Niki guta ishuri rya Monte Carlo gukora kugirango ugereranye gushidikanya?
MC yataye ishuri isiga ishuri mugihe cyo gufata umwanzuro kandi ikora passes nyinshi imbere; guhinduka mubyahanuye bigereranya icyorezo cya epistemic.