Uke wazibuza ukuthi imoto ezishayelayo yazi kanjani ukuthi ime nini ilambu elibomvu noma ukuthi ifoni yakho ingabubona kanjani ubuso bakho?
Yilapho i-Convolutional Neural Network noma i-CNN ngamafuphi ingena khona.
I-CNN iqhathaniswa nobuchopho bomuntu obukwazi ukuhlaziya izithombe ukuze kutholwe ukuthi kwenzekani kuzo. Lawa manethiwekhi angakwazi ngisho nokubona izinto abantu abangazinaki!
Kulokhu okuthunyelwe, sizohlola i-CNN ku ukufunda okujulile umongo. Ake sibone ukuthi le ndawo ethokozisayo ingasinika ini!
Kuyini Ukufunda Okujulile?
Ukufunda okujulile kuwuhlobo oluthile ukuhlakanipha okungekhona okwangempela. Ivumela amakhompyutha ukuthi afunde.
Ukufunda okujulile kucubungula idatha kusetshenziswa amamodeli ezibalo ayinkimbinkimbi. Ukuze, ikhompuyutha ikwazi ukubona amaphethini futhi ihlukanise idatha.
Ngemva kokuqeqeshwa ngezibonelo eziningi, ingakwazi futhi ukwenza izinqumo.
Kungani Sinentshisekelo Kuma-CNN Ekufundeni Okujulile?
I-Convolutional Neural Networks (CNNs) iyingxenye ebalulekile yokufunda okujulile.
Bavumela amakhompyutha ukuthi aqonde izithombe nokunye idatha ebonakalayo. Singaqeqesha amakhompuyutha ukuze abone amaphethini futhi akhombe izinto ngokusekelwe kulokho “abakubonayo” ngokusebenzisa ama-CNN ekufundeni okujulile.
Ama-CNN asebenza njengamehlo okufunda ajulile, esiza amakhompyutha ekuqondeni imvelo!
Ugqozi oluvela ku-Brain's Architecture
Ama-CNN athatha ugqozi endleleni ubuchopho obuhumusha ngayo ulwazi. Ama-neurons okwenziwa, noma ama-node, kuma-CNN, amukela okokufaka, akucubungule, futhi alethe umphumela njengokuphumayo, ngendlela nje ama-neurons obuchopho enza ngayo emzimbeni wonke.
Isendlalelo Sokufaka
Isendlalelo sokufakwayo sezinga inethiwekhi ye-neural ithola okokufaka ngendlela yama-array, njengamaphikseli esithombe. Kuma-CNN, isithombe sinikezwa njengokufakwa kungqimba lokokufaka.
Izendlalelo Ezifihliwe
Kunezendlalelo ezimbalwa ezifihliwe kuma-CNN, ezisebenzisa izibalo ukuze zikhiphe izici esithombeni. Kunezinhlobo ezimbalwa zezendlalelo, ezifaka phakathi amayunithi alayini axhunywe ngokuphelele, alungisiwe, ukuhlanganisa, kanye nezendlalelo ze-convolution.
Isendlalelo se-Convolution
Isendlalelo sokuqala sokukhipha izici esithombeni esifakiwe ungqimba lwe-convolution. Isithombe esifakiwe singaphansi kokuhlunga, futhi umphumela uba imephu yesici egqamisa izici ezibalulekile zesithombe.
Ukuhlanganisa Kamuva
Isendlalelo sokuhlanganisa sisetshenziselwa ukunciphisa usayizi wemephu yesici. Iqinisa ukumelana kwemodeli ekuguquleni indawo yesithombe esifakiwe.
Isendlalelo Seyunithi Elungisiwe (ReLU)
Isendlalelo se-ReLU sisetshenziswa ukunikeza imodeli ukungahambisani. Okukhiphayo kwesendlalelo esandulele kwenziwa kusebenze yilesi sendlalelo.
Isendlalelo Esixhumeke Ngokugcwele
Isendlalelo esixhumeke ngokugcwele sihlukanisa into ngezigaba futhi siyinikeze i-ID eyingqayizivele kusendlalelo esiphumayo isendlalelo esixhumeke ngokuphelele.
Ama-CNN angama-Feedforward Networks
Idatha igeleza kuphela isuka kokufakwayo iye kokuphumayo ngendlela eyodwa. Isakhiwo sazo sigqugquzelwa yi-cortex ebonakalayo yobuchopho, eyakhiwe izingqimba ezishintshanayo zamangqamuzana ayisisekelo nayinkimbinkimbi.
Aqeqeshwa Kanjani Ama-CNN?
Cabanga ukuthi uzama ukufundisa ikhompuyutha ukukhomba ikati.
Ubonisa kuyo izithombe eziningi zamakati kuyilapho uthi, “Nali ikati.” Ngemva kokubuka izithombe ezanele zamakati, ikhompuyutha iqala ukubona izici ezifana nezindlebe ezicijile namadevu.
Indlela i-CNN esebenza ngayo iyafana. Kunezithombe eziningana ezivezwa kukhompyutha, futhi kunikezwe amagama ezinto ezisesithombeni ngasinye.
Nokho, i-CNN ihlukanisa izithombe zibe izingcezu ezincane, njengezifunda. Futhi, ifunda ukukhomba izici kulezo zifunda kunokubuka nje izithombe sezizonke.
Ngakho-ke, isendlalelo sokuqala se-CNN singathola kuphela izici eziyisisekelo njengamaphethelo noma amakhona. Bese, isendlalelo esilandelayo sakhela phezu kwalokho ukuze sibone izici ezinemininingwane eminingi njengamafomu noma ukwakheka.
Izendlalelo zilokhu zilungisa futhi zicija lezo zimfanelo njengoba ikhompuyutha ibuka izithombe eziningi. Iqhubeka ize ibe nekhono kakhulu ekuhlonzeni noma yini eyayiqeqeshelwe yona, kungaba amakati, ubuso, nanoma yini enye.
Ithuluzi Lokufunda Okujulile Elinamandla: Ama-CNN Akuguqule Kanjani Ukuqashelwa Kwesithombe
Ngokukhomba nokwenza umqondo wamaphethini ezithombeni, ama-CNN, aguqule ukuqashelwa kwesithombe. Njengoba ehlinzeka ngemiphumela ngezinga eliphezulu lokunemba, ama-CNN ayisakhiwo esisebenza kahle kakhulu sokuhlukaniswa kwezithombe, ukutholwa, nokutholwa kwezinhlelo zokusebenza.
Ngokuvamile zinikeza imiphumela emihle kakhulu. Futhi, bakhomba ngokunembile futhi bakhombe izinto ezithombeni ezinhlelweni zomhlaba wangempela.
Ukuthola Amaphethini Kunoma iyiphi Ingxenye Yesithombe
Kungakhathaliseki ukuthi iphethini ivela kuphi esithombeni, ama-CNN aklanyelwe ukuyibona. Bangakwazi ukukhipha ngokuzenzakalelayo izici ezibonakalayo kunoma iyiphi indawo esithombeni.
Lokhu kungenzeka ngenxa yekhono labo elaziwa ngokuthi "ukungaguquguquki kwendawo." Ngokwenza inqubo ibe lula, ama-CNN angafunda ngokuqondile ezithombeni ngaphandle kwesidingo sokukhishwa kwesici somuntu.
Isivinini Sokucubungula Esengeziwe kanye Nenkumbulo Encane Esetshenzisiwe
Ama-CNN acubungula izithombe ngokushesha nangempumelelo kunezinqubo zendabuko. Lokhu kuwumphumela wezingqimba zokuhlanganisa, ezehlisa inani lamapharamitha adingekayo ukuze kucutshungulwe isithombe.
Ngale ndlela, behlisa ukusetshenziswa kwememori nokucubungula izindleko. Izindawo eziningi zisebenzisa ama-CNN, njengokuthi; ukubona ubuso, ukuhlukaniswa kwevidiyo, nokuhlaziywa kwezithombe. Baze bajwayele hlukanisa imithala.
Izibonelo Zempilo Yangempela
Izithombe zeGoogle okunye ukusetshenziswa kwama-CNN emhlabeni wangempela okubaqashela ukukhomba abantu nezinto ezisezithombeni. Ngaphezu kwalokho, I-Azure futhi Amazon hlinzeka ngama-API okubona isithombe amaka futhi akhombe izinto kusetshenziswa ama-CNN.
Ukuxhumana okuku-inthanethi kokuqeqesha amanethiwekhi e-neural kusetshenziswa amasethi edatha, okuhlanganisa imisebenzi yokuqaphela izithombe, kuhlinzekwa inkundla yokufunda ejulile. Izinombolo ze-NVIDIA.
Lezi zinhlelo zokusebenza zibonisa ukuthi ama-CNN angasetshenziswa kanjani emisebenzini eyahlukene, kusukela ezimweni zokusetshenziswa kwezentengiselwano ezincane kuya ekuhleleni izithombe zomuntu. Izibonelo eziningi ezengeziwe zingacatshangelwa.
Ingabe I-Convolutional Neural Networks Izovela Kanjani?
Ukunakekelwa kwezempilo kuyimboni ethokozisayo lapho ama-CNN kulindeleke ukuthi abe nomthelela omkhulu. Isibonelo, zingase zisetshenziselwe ukuhlola izithombe zezokwelapha ezifana nama-X-ray namaskeni we-MRI. Bangasiza odokotela ekuxilongeni izifo ngokushesha nangokunembile.
Izimoto ezizishayelayo zingolunye uhlelo oluthokozisayo lapho ama-CNN angase asetshenziselwe ukuhlonza into. Ingathuthukisa indlela izimoto eziqonda ngayo futhi zisabele ngayo endaweni ezizungezile.
Inani elikhulayo labantu nalo linentshisekelo ekudaleni izakhiwo ze-CNN ezisheshayo nezisebenza ngempumelelo, okuhlanganisa nama-CNN eselula. Kulindeleke ukuthi zisetshenziswe kumagajethi anamandla aphansi njengama-smartphone nezinto ezigqokwayo.
shiya impendulo