AMABWIRIZA Yibanze

Kwiga Byimbitse

Kwiga kwimbitse kwa Bayesian bifata uburemere bwurusobe rwimitsi nkibisaranganya aho kuba imibare ihamye, kuburyo icyitegererezo gishobora kuvuga uburyo cyizeye.

Incamake

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.

Bayesian Kwiga Byimbitse bicaye mubikoresho bya AI. Iyo ubisobanukiwe, izindi ngingo za AI zoroha gusuzuma no kugereranya.

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.

Kwiga Bayesian Kwiga Byimbitse

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. Bayesian Kwiga Byimbitse bicaye mubikoresho bya AI. Iyo ubisobanukiwe, izindi ngingo za AI zoroha gusuzuma no kugereranya. Kugirango wubake byimbitse, fata Kwiga Byimbitse bya Bayesian nkicyitegererezo gikora, ntabwo ari ikintu kimwe: gusobanura ibyagezweho, gusobanura ibitekerezo, no gutandukanya ibyo sisitemu ishobora gukora byizewe nibisaba guca imanza zinzobere.

Mu myitozo, amakipe akomeye akoresha Bayesian Deep Learning yubaka icyitegererezo gikomeye cyibitekerezo, hanyuma agashushanya izo moderi kubibuza umusaruro. Bandika ibipimo ngenderwaho byerekana intsinzi, bagerageza kurwanya amakuru afatika hamwe nakazi keza, kandi bagasubiramo bashingiye kubikorwa byagaragaye ko batsinzwe aho gutsinda inshuro imwe. Aha niho imyumvire yubumenyi ihinduka mubushobozi burambye kubicuruzwa, politiki, nibikorwa.

Iragufasha gutandukanya ibyifuzo bya tekiniki bisobanutse nururimi rwo kwamamaza. Igihe kimwe, Amakipe atandukanye arashobora gukoresha ijambo rimwe muburyo butandukanye, sobanura intera hakiri kare. Uburyo bukomeye cyane ni uguhuza umuvuduko wikigereranyo hamwe na disipuline yimiyoborere: kuyobora abaderevu, gufata ibimenyetso, gutangaza ibyemezo byicyemezo, no gukomeza kuvugurura uburyo bwo kwirinda nkimyitwarire yicyitegererezo, ibyo abakoresha bategereje, nibisabwa n'amategeko bigenda bihinduka.

Ingaruka z'Ingamba

Iragufasha gutandukanya ibyifuzo bya tekiniki bisobanutse nururimi rwo kwamamaza.

Iragufasha gutandukanya ibyifuzo bya tekiniki bisobanutse nururimi rwo kwamamaza. Mubikorwa byujuje ubuziranenge, ibi bihindurwa mumategeko agenga imikorere, imipaka nyirubwite, hamwe n'imihango yo gusubiramo kenshi kugirango amakipe ashobore kwigirira ikizere aho gupima ibidasobanutse.

Urashobora kubaza ibibazo byiza byo gushyira mubikorwa mbere yo gukoresha amafaranga cyangwa igihe.

Urashobora kubaza ibibazo byiza byo gushyira mubikorwa mbere yo gukoresha amafaranga cyangwa igihe. Mubikorwa byujuje ubuziranenge, ibi bihindurwa mumategeko agenga imikorere, imipaka nyirubwite, hamwe n'imihango yo gusubiramo kenshi kugirango amakipe ashobore kwigirira ikizere aho gupima ibidasobanutse.

Amakipe afite imyumvire isangiwe akora ibicuruzwa byiza, politiki, nibyemezo byo kwiga.

Amakipe afite imyumvire isangiwe akora ibicuruzwa byiza, politiki, nibyemezo byo kwiga. Mubikorwa byujuje ubuziranenge, ibi bihindurwa mumategeko agenga imikorere, imipaka nyirubwite, hamwe n'imihango yo gusubiramo kenshi kugirango amakipe ashobore kwigirira ikizere aho gupima ibidasobanutse.

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.

Uburyo bwo Gushyira mu bikorwa

Bayesian Kwiga Byimbitse mubikorwa

Sisitemu yo gufata amashusho yubuvuzi ihuza urwego rwicyizere kuri buri kwisuzumisha hamwe ninzira zidasobanutse kuri radiologue yumuntu.

Sisitemu yo gufata amashusho yubuvuzi ihuza urwego rwicyizere kuri buri kwisuzumisha hamwe ninzira zidashidikanywaho kuri radiologue yumuntu Amakipe akunze kubona ibisubizo byiza iyo asobanuye ibipimo ngenderwaho byimbere, agakomeza inzira yo kuzamura abantu kubibazo byanduye, kandi akurikirana inyungu zibyara umusaruro nibiciro byamakosa mugihe runaka.

Bayesian Kwiga Byimbitse mubikorwa

Ubwikorezi bwo gutwara ibendera bwerekana ikintu utamenyereye nkudashidikanya cyane kuburyo imodoka igenda yitonze aho kuyizera nabi.

Ubwikorezi bwo gutwara ibinyabiziga bwerekana ikintu kitamenyerewe nkibidashidikanywaho cyane kuburyo imodoka igenda yitonze aho kuyizera nabi ko Amakipe ubusanzwe abona ibisubizo byiza iyo asobanuye ibipimo ngenderwaho byimbere, agakomeza inzira yo kuzamura abantu kubibazo byimbere, kandi akurikirana inyungu zibyara umusaruro nibiciro byamakosa mugihe runaka.

Bayesian Kwiga Byimbitse mubikorwa

Kumenya ibicuruzwa bitagabanijwe muburiganya cyangwa sisitemu yumutekano, aho amakuru adasanzwe agomba gutera amakenga aho gufata icyemezo cyizewe.

Kumenya ibicuruzwa bitagabanijwe mu buriganya cyangwa muri sisitemu z'umutekano, aho amakuru adasanzwe agomba gutera amakenga aho gufata icyemezo cyizewe Amakipe ubusanzwe abona ibisubizo byiza iyo asobanuye ibipimo byujuje ubuziranenge imbere, agakomeza inzira yo kuzamura abantu kubibazo, kandi akurikirana inyungu zibyara umusaruro hamwe nibiciro byamakosa mugihe runaka.

Bayesian Kwiga Byimbitse mubikorwa

Bayesian optimizasiyo ihuza ibiyobyabwenge cyangwa hyperparameter yiga imashini muguhuza ubushakashatsi bwakarere kataramenyekana neza nibyiza bizwi.

Bayesian optimizing ihuza ibiyobyabwenge cyangwa hyperparameter yiga imashini mukuringaniza ubushakashatsi bwakarere kitazwi neza nibyiza bizwi Amakipe ubusanzwe abona umusaruro ushimishije mugihe asobanura ibipimo ngenderwaho byimbere, agakomeza inzira yo kuzamuka kwabantu kubibazo bikabije, kandi akurikirana inyungu zibyara umusaruro nibiciro byigihe.

Ingaruka & Kurinda

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Amakipe atandukanye arashobora gukoresha ijambo rimwe muburyo butandukanye, sobanura intera hakiri kare.

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Ibipimo birashobora kugaragara bikomeye mugihe imikorere-yisi-itaringaniye.

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Kwirengagiza ubuziranenge bwamakuru na gahunda yo gusuzuma akenshi bitanga ibisubizo byoroshye.

Igishushanyo mbonera

1

Tangira nururimi rusobanutse rwibisubizo ukeneye.

Tangira nururimi rusobanutse rwibisubizo ukeneye. Fata buri ntambwe nk irembo ryibimenyetso: niba ibipimo bitujujwe, hagarika kuzenguruka, funga icyuho, hanyuma noneho wagure imikoreshereze.

2

Toranya intsinzi imwe hamwe nuburyo bumwe bwo gutsindwa mbere yo kwipimisha.

Toranya intsinzi imwe hamwe nuburyo bumwe bwo gutsindwa mbere yo kwipimisha. Fata buri ntambwe nk irembo ryibimenyetso: niba ibipimo bitujujwe, hagarika kuzenguruka, funga icyuho, hanyuma noneho wagure imikoreshereze.

3

Koresha umuderevu muto hamwe namakuru ahagarariye, ntabwo ari demo yashizweho.

Koresha umuderevu muto hamwe namakuru ahagarariye, ntabwo ari demo yashizweho. Fata buri ntambwe nk irembo ryibimenyetso: niba ibipimo bitujujwe, hagarika kuzenguruka, funga icyuho, hanyuma noneho wagure imikoreshereze.

4

Inyandiko aho Bayesian Kwiga Byimbitse bifasha nuburyo bworoshye bworoshye.

Inyandiko aho Bayesian Kwiga Byimbitse bifasha nuburyo bworoshye bworoshye. Fata buri ntambwe nk irembo ryibimenyetso: niba ibipimo bitujujwe, hagarika kuzenguruka, funga icyuho, hanyuma noneho wagure imikoreshereze.

Komeza Ubushakashatsi