Ngaba ukulungele ukuya kuhambo olunika umdla ukuya kwindawo yobukrelekrele bokwenziwa?
Akuzange kubekho ithuba elingcono lokuphonononga izikhokelo ze-AI, ngenxa yokukhula kobukrelekrele bokwenziwa.
Kukho izisombululo ezininzi ezikhoyo, ukusukela kwiTensorFlow kunye nePyTorch ukuya eKeras naseCaffe. Ngokuxhomekeke kwiinjongo zakho, isakhelo ngasinye sineenzuzo ezahlukeneyo kunye nokungalunganga.
Ke, nokuba ungumntu omtsha okanye umphuhlisi onamava, masiqalise kwaye sijonge ezona zicwangciso ze-AI zibalaseleyo ezikhoyo namhlanje.
1. I-PyTorch
I-PyTorch yinkqubo yokufunda yomatshini ovulekileyo ovulekileyo oye watshayela uluntu lwe-AI ukususela ekuqaleni kwayo ngo-2016. Ikhawuleze yaba yinkqubo yokubulela kwinethiwekhi yayo eguqukayo yokubala kunye ne-interface-friendly interface.
Kodwa yintoni eyahlula iPyTorch kwisihlwele? Ukuqala, inengqokelela eyomeleleyo yezakhono. Oku kuyenza igqibelele ekwakheni nasekuphunyezweni iimodeli zokufunda ngomatshini.
I-PyTorch sisikhokelo esilungele imveliso esinokuthenjwa nakwezona zicelo zifunwa kakhulu, enkosi kutshintsho lwayo olugudileyo phakathi kweendlela ezinomdla kunye negrafu usebenzisa iTorchScript kunye nokukwazi kwayo ukukhawulezisa indlela eya kwimveliso usebenzisa iTorchServe.
Ukongeza, iPyTorch ineecosystem ebanzi yezixhobo kunye namathala eencwadi. Ezi zixhobo zinceda ekudalweni kwe umbono wekhompyutha, NLP, kunye nezinye izicelo.
Ikwaxhaswa ngokubanzi kwiiplatifti ezinkulu zamafu, ezivumela uphuhliso olulula kunye nokulinganisa.
eziluncedo
- I-TorchScript ikuvumela ukuba utshintshe ngokulula phakathi kweendlela ezinomdla kunye negrafu, ngelixa iTorchServe ikhawulezisa uhambo oluya kwimveliso.
- I-ecosystem eyomeleleyo yezixhobo kunye nesikhokelo yandisa iPyTorch kwaye ivumela uphando kumbono wekhompyuter, ukusetyenzwa kolwimi lwendalo, kunye nezinye iindawo.
- Iiplatifti ezinkulu zamafu zixhaswa kakuhle, zivumela uphuhliso olungena-friction kunye nokulinganisa okulula.
neengozi
- Xa kuthelekiswa nezinye izikhokelo, inoluntu oluncinci lophuhliso.
- Kukho ukunqongophala kwezixhobo zokubeka iliso kunye nokubonwayo, njengebhodi ye-tensor.
2. I-Keras
Ngaba udiniwe kukukhubeka kwii-APIs ezibhidayo kunye nemiyalezo yempazamo xa uphuhlisa imifuziselo yokufunda koomatshini? Ungajongi ngaphaya kweKeras, a isakhelo sokufunda nzulu iphuhliselwe abantu kunerobhothi.
I-Keras igxininisa ubulula, ukusebenziseka ngokulula, kunye namaxwebhu abanzi. Oku kuyenza ibe lukhetho oludumileyo phakathi kwabaphuhlisi abazama ukwenza kunye nokuhambisa iimveliso ezisebenza ngomatshini wokufunda.
Kodwa ayisiyiyo yonke loo nto: I-Keras ine-ecosystem ebanzi yezixhobo kunye nezixhobo ezigubungela yonke indawo yokufunda koomatshini.
Ngokuguquguquka kokuhambisa iimodeli zeKeras kuyo yonke indawo, ukusuka kwisikhangeli ukuya kwizixhobo eziphathwayo ukuya kwiinkqubo ezizinzisiweyo, ungasebenzisa ngokupheleleyo amandla kaTensorFlow kuyo nayiphi na imeko.
eziluncedo
- Yakhelwe ngee-API ezilula kunye namaxwebhu abanzi ukuze kube lula ukusetyenziswa komntu.
- Ilungiselelwe kakhulu kwisantya sokulungisa ingxaki, ikhowudi encomekayo, kunye nokuhanjiswa
- Ukukala ngokulula ukuya kumanqanaba aphezulu ngenxa yokusebenzisana neqonga leTensorFlow
- Ukhetho oluninzi lokuthunyelwa, ukusuka kwizikhangeli ukuya kwizixhobo eziphathwayo ukuya kwiinkqubo ezizinzisiweyo
neengozi
- Ukuguquguquka kancinci kunezinye izikhokelo zokufunda ezinzulu
- Kwiimeko ezithile zosetyenziso oluntsonkothileyo, amathala eencwadi okanye izixhobo ezongezelelweyo zinokufuneka
- Ayaziwa kakhulu okanye isetyenziswa rhoqo njengezinye iinkqubo
3. TensorFlow
Yenza iimodeli zokufunda zoomatshini ezifanelekileyo kwimveliso usebenzisa iTensorFlow! I-TensorFlow ibonelela ngezixhobo ozifunayo ukuze uqhubele phambili eyakho iiprojekthi zokufunda ngoomatshini, nokuba uyingcali yenzululwazi yedatha okanye ungumntu omtsha onomdla.
Nokuba inqanaba lakho lamava, unokuqalisa ngokulula ngeTensorFlow enkosi kwiimodeli eziqeqeshwe kwangaphambili kunye nezifundo ezifikelelekayo.
I-TensorFlow ayilothala leencwadi nje lokufunda koomatshini. Liqonga elipheleleyo lokufunda lomatshini ukuya ekupheleni elinika iinketho kwinyathelo ngalinye lenkqubo yakho, ukusuka kwimodeli yokuhanjiswa ukuya kulungiselelo lwedatha.
I-TensorFlow yenza kube lula ukubeka iimodeli zakho kuyo yonke indawo, nokuba uphuhlisa i-app yewebhu, i-app ephathwayo, okanye isixhobo esifakwe ngaphakathi.
eziluncedo
- Iqonga elibanzi lokufunda koomatshini ukusuka ekuqaleni ukuya ekugqibeleni
- I-scalable kwaye iguquguquka
- Ifumaneka kwiinguqulelo ezininzi kwiimeko ezahlukeneyo zokusetyenziswa
- I-ecosystem enkulu enezixhobo zoluntu kunye neemodeli eziqeqeshiweyo
neengozi
- Kukho umnqantsa wokufunda kwabo basaqalayo
- Ifuna isixa esithile sobuchule bobugcisa kunye nokuqonda.
4. Ikhefi
Isakhelo sokufunda esinzulu esibizwa ngokuba yiCaffe sadalwa sigxile kwisantya kunye nemodyuli.
Ngenxa yokulula kwayo ukusetyenziswa kunye nokulungiswa kwedatha ngokukhawuleza, iCaffe, ephuhliswe yiBerkeley Vision and Learning Centre (BVLC), ifumene ukuthandwa phakathi kwabaphandi kunye namashishini.
Yenye indlela enomtsalane kubantu abafuna ukuqeqesha kunye nokuthumela iimodeli kuluhlu lwehardware ngenxa yoyilo olusebenza kakhulu, oluvumela ukuba lusebenze kuzo zombini ii-CPU kunye nee-GPU.
eziluncedo
- Iyakhawuleza kwaye iyasebenza.
- Ikofu iguquguquka kunye nemodyuli yoyilo lwezakhiwo.
- Uncedo olulungileyo loluntu luyafumaneka.
neengozi
- Isenokungabi lolona khetho lufanelekileyo kwizicelo ezinobugocigoci ngenxa yokunqongophala kwamandla.
- Ngokungafaniyo nezinye iinkqubo, hayi njengomsebenzisi-friendly
- Ifuna amava ocwangciso.
5. MX Net
Isakhelo sokufunda nzulu i-MXNet sadalwa ngobuchule kunye nokuguquguquka engqondweni. Unokwenza lula kwaye usebenzise amanethiwekhi ngojongano lwazo olusebenziseka lula kuluhlu lweenjongo.
Iphuhliswa ngemeko yokusetyenziswa kwemveliso engqondweni, kuquka amandla afana nokujonga imodeli, ukukhonza imodeli, kunye nenkxaso yefomathi ye-ONNX. Oku kwenza kube lula ukuhambisa iimodeli zakho kwiindawo ezininzi, kubandakanya izixhobo ezizinzisiweyo kunye neemeko zamafu.
Ezinye iimpawu kunye nezixhobo ezibonelelwe yi-MXNet zibandakanya abalayishi bedatha abakhelwe ngaphakathi, imifuziselo eqeqeshwe kwangaphambili, kunye noncedo ngokwahlukana okuzenzekelayo. U kufunda o lukhulu Iingcali zawo onke amanqanaba ezakhono zihlala zisikhetha ngenxa yoluntu lwayo oludlamkileyo kunye namaxwebhu acokisekileyo.
eziluncedo
- I-scalable: I-MXNet lukhetho oluhle kakhulu lwezicelo ezinkulu kuba ixhasa uqeqesho olusasazwe ngaphezulu kwee-GPU ezininzi kunye nee-CPU.
- I-MXNet ilula ukuyifaka kwiinkqubo zangoku kuba ixhasa iintlobo ngeentlobo zeelwimi zekhompyuter, kubandakanya iPython, R, Julia, Scala, Perl, kunye neC ++.
- Iyahambelana neLinux, Windows, macOS, iOS, kunye neAndroid.
neengozi
- I-MXNet ine-curve yokufunda ephezulu kwaye inokufuna ixesha lokuyilawula, efana nenye izikhokelo zokufunda ezinzulu.
- Okungathandwa kakhulu: Ngelixa i-MXNet ifumana ukwamkelwa, ayikasetyenziswa rhoqo njengezinye izikhokelo zokufunda ezinzulu ezifana neTensorFlow okanye iPyTorch, ecebisa ukuba kusenokubakho izixhobo zoluntu ezimbalwa ezifikelelekayo.
6. Theano
Isixhobo esinamandla sokubala samanani esibizwa ngokuba yi-Theano ivumela abasebenzisi ukuyila ngokufanelekileyo, bandise, kwaye bavavanye iintetho zemathematika. Ibonelela ngojongano oluthe ngqo lokwenza imisebenzi yezibalo kwiiseti zedatha enkulu kwaye iphuhliswe ngaphezulu kwePython.
Ukuba bhetyebhetye kukaTheano ukwenza izibalo kuzo zombini ii-CPU kunye nee-GPUs yenye yeenzuzo zayo eziphambili. Oku kuyenza ilungele izicelo zokufunda nzulu ezifuna ukusetyenzwa okuphezulu.
Ngaphezu koko, iTheano ibonelela ngeendlela ezahlukeneyo zokukwazi ukuzisebenzisa abasebenzisi ukuphucula ukusebenza kweemodeli zabo kunye nokuchaneka.
Ngoku, makhe sijonge izinto ezilungileyo kunye nezibi.
eziluncedo
- I-Theano isebenza ngendlela emangalisayo ekubalweni kwamanani njengoko yakhelwe ukwandisa igrafu yokubala yeentetho zemathematika.
- Sisakhelo esiguquguqukayo kakhulu.
- Ukusetyenziswa komgangatho ophezulu wokufunda nzulu kuxhamla kakhulu kwi-GPU eyomeleleyo yeTheano. Yakhelwe ukusebenza ngokulula ngeeGPUs.
neengozi
- Abo bangaqhelananga nePython okanye amanye amathala eencwadi okubala amanani banokukufumanisa kunzima ukufunda iTheano.
- UTheano usenokungasakwazi ukufumana uhlaziyo okanye iipatches ze-bug kuba uphuhliso lwayo luye lwacotha kutshanje.
- Amaxwebhu angonelanga: abanye abasebenzisi banokufumanisa i-Theano icela umngeni ukuba isetyenziswe njengoko uxwebhu lwayo lungacokisekanga kangako kunolo lwamathala eencwadi akhuphisanayo okubalwa kwamanani.
7. Isixhobo seMicrosoft Cognitive Toolkit
Makhe sijonge kwi-Microsoft Cognitive Toolkit, isakhelo sasimahla nesivulelekileyo sokuphuhlisa imifuziselo yokufunda nzulu. Yenzelwe ukuqeqesha iimodeli ezinkulu kwii-GPU ezininzi kunye noomatshini.
I-Cognitive Toolkit lukhetho oludumileyo phakathi kwezazinzulu zedatha kunye nabaphandi bokufunda ngomatshini kunye ne-API esebenziseka lula kunye nobuchule obugqwesileyo bokusasazwa koqeqesho.
Enye yeempawu ezibalulekileyo ze-Cognitive Toolkit kukukwazi kwayo ukuqeqesha kunye nokusebenzisa iimodeli kwiintlobo ngeentlobo zehardware, kuquka ii-CPU, iiGPU, kunye neeFPGA.
Oku kuyenza ibe yeyona ndlela ibalaseleyo kwimibutho ezama ukubandakanya ukufunda okunzulu kwiimpahla kunye neenkonzo zabo. Ngaphaya koko, i-Cognitive Toolkit ibandakanya iintlobo ngeentlobo zeemodeli ezakhelwe ngaphambili kunye nekhowudi yomzekelo, ikwenza kube lula kwabaqalayo ukuba baqalise.
eziluncedo
- Ivumela uqeqesho olusasaziweyo kwiikhompyuter ezininzi kunye neeGPU
- Ibonelela ngonxibelelwano olulula kunye nezinye iimveliso zikaMicrosoft ezinje ngeAzure kunye nePower BI
- Inika isakhelo esiguquguqukayo nesiguquguqukayo sokuphuhlisa nokuqeqesha iimodeli zokufunda nzulu
neengozi
- Kunokuba nzima ukuseta kunye nokwenza ngokwezifiso kubasebenzisi abatsha
- Ukusilela kwenkxaso eyakhelwe-ngaphakathi kwiimpawu ezininzi ezidumileyo ezinjengokwandiswa kwedatha kunye nokufunda kodluliselo
- Ukusilela kwenkxaso eyakhelwe-ngaphakathi kwiimpawu ezininzi ezidumileyo ezinjengokwandiswa kwedatha kunye nokufunda kodluliselo
8. Shogun
I-Shogun yiphakheji yokufunda yomatshini ye-C ++ engasetyenziswa kakuhle. Iqulethe i-Python, i-Java, kunye nezixhumi ze-MATLAB, okwenza kube sisixhobo esiguquguqukayo sabasebenzi bokufunda ngomatshini.
I-Shogun yakhelwe ukuba ibe nokuhla, ikhawuleze, kwaye ibe bhetyebhetye, iyenze ifanele izixa ezikhulu zedatha kunye nomngeni womsebenzi wokufunda koomatshini.
Enye yezona zinto ziluncedo zikaShogun kubuchule bakhe bokuphatha uluhlu olubanzi lweefomati zedatha, kubandakanywa okubini, udidi, kunye nokuqhubekayo.
Ikwabandakanya uluhlu olukhulu lweendlela zokuhlela, ukuhlehla, ukuncitshiswa kobukhulu, kunye nokudibanisa, okwenza kube sisixhobo esipheleleyo sokufunda ngomatshini. I-Shogun ixhasa zombini ibhetshi kunye nokufunda kwi-intanethi, kwaye idibanisa ngaphandle komthungo namanye amathala eencwadi okufunda ngoomatshini afana neTensorFlow kunye ne-scikit-learn.
eziluncedo
- Ibonelela ngeendlela ezahlukeneyo zobuchule bokufunda ngomatshini kunye nezixhobo, kubandakanya ukufunda nzulu, ukuhlehla, kunye nenkxaso yohlelo.
- Iyahambelana neentlobo ngeentlobo Iilwimi zenkqubo, kuquka iPython, C ++, kunye neJava.
neengozi
- Isenokuba nezixhobo ezimbalwa kunye nenkxaso ekhoyo kuba isenokungaziwa kakhulu okanye idume njengamanye amathala eencwadi okufunda ngoomatshini.
- Xa kuthelekiswa namanye amathala eencwadi abawaqhelileyo, abanye abasebenzisi basenokufumanisa ukuba isintaksi kunye nolwakhiwo lweli thala leencwadi aluqondakali kangako.
- Ukufumana ezona ziphumo zigqwesileyo, amathala eencwadi athile anokufuna umsebenzi ongaphezulu wezandla kunye nohlengahlengiso olufanelekileyo kunamanye.
9. Onnx
Iqonga lomthombo ovulekileyo elibizwa ngokuba yi-Open Neural Network Exchange (ONNX) yenza ukuba uguqulo kunye nokwabelana ngeemodeli zokufunda zoomatshini.
Inika indlela yokudlulisa iimodeli zokufunda ezinzulu phakathi kwezakhelo ezahlukeneyo kunye namaqonga, ukwenza lula ukudalwa kunye nokuthunyelwa kweemodeli zokufunda koomatshini.
Unokwenza imifuziselo nge-ONNX usebenzisa isakhelo esikhethiweyo kwaye emva koko uyisebenzise kwisetingi yexesha lokusebenza eyahlukileyo.
Uyilo olulungelelanisiweyo lwe-ONNX luvumela abasebenzisi ukuba bakhethe izixhobo ezifanelekileyo zomsebenzi okhoyo. Iququzelela ukuhambelana kuzo zonke izikhokelo zokufunda ezinzulu, ezinje ngePyTorch, iTensorFlow, kunye neCaffe2. Unokwenza ukusetyenziswa kweenzuzo zesakhelo ngasinye ngokuguqula ngokukhawuleza imifuziselo phakathi kwabo.
eziluncedo
- Ukusebenzisana kunokwenzeka kwiinkqubo ezininzi zokufunda ezinzulu.
- Isimahla ukuyisebenzisa kunye nomthombo ovulekileyo.
- Uluhlu olubanzi lwee-hardware kunye neemeko zexesha lokusebenza ziyaxhaswa.
neengozi
- Ukusebenza kweemodeli ze-ONNX ngamanye amaxesha kunokuba mbi kuneemodeli eziphunyezwe ngokwemveli kwisakhelo esinikiweyo.
- Ngamanye amaxesha ukutshintsha phakathi kwezakhelo ezahlukeneyo kunokubangela iingxaki zokuhambelana ekunzima ukuzilungisa.
10. Apache Spark
I-Apache Spark yinkqubo yekhompyutha esasazwayo ekhawulezayo neguquguqukayo enokusingatha ngokulula ukusetyenzwa kwedatha enkulu. Lukhetho oludumileyo lwezicelo ezinkulu zedatha ngenxa yokukwazi ukuhlalutya umthamo omkhulu wedatha ngokukhawuleza.
I-Spark ayenzelwanga nje ukuba ikhawuleze, kodwa iphinda ihlaziywe, oku kuthetha ukuba inokulawula ubuninzi bedatha ngaphandle kokubeka esichengeni ukusebenza.
Iphakheji ye-MLlib efakwe kunye ne-Apache Spark iphawuleka ngakumbi. Ibandakanya iindlela zokufunda zoomatshini ezikhawulezayo nezisebenzayo ezinje ngohlelo, ukubuyisela umva, ukuhlanganisana, kunye nokucoca ngentsebenziswano.
Ngenxa yokuba iMLlib inxibelelana namanye amacandelo eSpark, kulula ukuyila imibhobho yokusetyenzwa kwedatha ukuya ekupheleni.
Ke, ukuba ufuna isixhobo esomeleleyo nesiguquguqukayo sokusetyenzwa kwedatha enkulu kunye nokufunda koomatshini, i-Apache Spark kufuneka ibe kuluhlu lwakho.
eziluncedo
- Ngenxa yoyilo lwayo olusasazwayo lwekhompyuter, inokusingatha iiseti ezinkulu zedatha ngokukhawuleza
- Ukudibanisa kunye nobunye ubuchwepheshe beDatha enkulu njengeHadoop, iHive, kunye neCassandra ilula.
- Iindlela ezininzi zokuhlela, ukubuyisela umva, ukuhlanganisa, kunye nokuhluza okuhlangeneyo zinikezelwe
neengozi
- Ngenxa yokuntsonkotha kolwakhiwo lwekhompyutha olusasaziweyo, ijiko lokufunda lingumnqantsa
- Isebenza kwisixa esikhulu sezibonelelo kunye neziseko zoncedo
- Inkxaso yenkqubo yexesha langempela kunye nedatha yokusasaza ilinganiselwe
11. mpack
i-mlpack sisixhobo sokufunda ngomatshini esivulelekileyo se-C++ esijolise ekuboneleleni ngokukhawuleza, ukukhatywayo, kunye neendlela ezilula zokulinganisa usetyenziso.
Ibonelela ngeseti eyahluka-hlukeneyo yee-algorithms zokufunda koomatshini ezinje ngokuhlanganisana, ukuhlehla, ukuhlelwa, ukucutha ubukhulu, kunye nothungelwano lwe-neural.
eziluncedo
- Ukuphunyezwa okusebenzayo kwee-algorithms ezininzi
- Ukudibanisa namanye amathala eencwadi kunye neelwimi kulula.
- Inikeza umgca womyalelo kunye ne-C++ API ujongano
neengozi
- Amaxwebhu angaphuculwa
- Ii-algorithms ezininzi azikaphunyezwa
- Abaqalayo banokukufumanisa kunzima ukuyisebenzisa
12. I-Azure ML Studio
I-Azure Machine Learning (i-Azure ML) yindawo yokufunda umatshini efini. Ufumana ukuyila, ukusebenzisa, kunye nokulawula iimodeli zokufunda koomatshini kwinqanaba.
Ibonelela ngezixhobo ezahlukeneyo kunye neenkonzo zokunceda izazinzulu zedatha kunye nabaphuhlisi ekuphuculeni ukuhamba komsebenzi wokufunda komatshini wokugqibela. Unokulawula ngokulula idatha yakho, uqeqeshe iimodeli zakho, kwaye uzibeke kwimveliso. Kwaye unokubek' esweni ukusebenza kwabo usebenzisa i-Azure ML-zonke zivela kwindawo enye edibeneyo.
Iqonga lixhasa iilwimi ezininzi zekhompyuter, kubandakanya iPython, R, kunye neSQL, kwaye iza neetemplate ezininzi ezakhelwe kwangaphambili kunye ne-algorithms ukukunceda ukuba uqalise ngokukhawuleza.
Ngaphaya koko, ngenxa yoyilo lwayo oluguquguqukayo kunye nolwakhiwo, i-Azure ML inokulawula ngokulula zombini izilingo ezincinci kunye nokusetyenziswa komatshini omkhulu wokufunda.
eziluncedo
- Ibonelela ngomzobo ekulula ukuwusebenzisa ekuphuhliseni nasekusebenziseni imifuziselo yokufunda koomatshini
- Iqhagamshela kwezinye iinkonzo zikaMicrosoft ezifana noGcino lweAzure kunye nePower BI.
- Ukusebenzisana namalungu eqela kunokwenzeka ngolawulo lwenguqulelo kunye neendawo zokusebenza ekwabelwana ngazo
- Ukubaleka kokujongana nomthamo omkhulu wedatha kunye namandla okusebenza
neengozi
- Iinketho ezincinci zokwenziwa kwe-algorithms kunye neemodeli
- Ngenxa yesicwangciso samaxabiso, isenokungabizi ndleko kumashishini amancinci okanye kubantu ngabanye
13. Sonnet
Abaphandi be-DeepMind bayile kwaye bakha i-Sonnet, isakhelo se-AI esixhasa uphuhliso lweenethiwekhi ze-neural kwiinkqubo ezahlukeneyo. Oku kubandakanya ukufunda okubekwe esweni nokungagadwanga, ngokunjalo nokuqiniswa ukufunda.
Uyilo lwenkqubo yeSonnet lwakhiwe kwi-snt.Module, enokugcina izikhombisi kwiiparamitha, ezinye iimodyuli kunye neendlela. Isakhelo siza neemodyuli ezininzi esetwe kwangaphambili kunye neenethiwekhi, kodwa abasebenzisi bayakhuthazwa ukuba benze ezabo.
eziluncedo
- Imodeli yenkqubo elula kwaye enamandla
- Abasebenzisi bayakhuthazwa ukuba benze iimodyuli zabo.
- Ikhowudi emfutshane kwaye igxininise
neengozi
- Akukho nkqubo yoqeqesho ibandakanyiweyo
- Abasaqalayo banokujongana negophe lokufunda
14. GluonCV
Ngaba uyafuna ukufunda ngakumbi malunga nombono wekhompyuter?
Ukwazisa iGluonCV!
Eli thala leencwadi limangalisayo liqulethe i-algorithms yokufunda enzulu, iimodeli eziqeqeshwe kwangaphambili, kunye nentaphane yezixhobo zokunceda iinjineli, abaphandi, kunye nabafundi ekuqinisekiseni izimvo zabo, iimveliso zeprototyping, kunye nokufunda ngakumbi malunga nommandla.
I-GluonCV yenza kube lula ukuqalisa kunye nokufezekisa iziphumo ze-SOTA ngee-APIs eziyilwe kakuhle, ukuphunyezwa okulula, kunye noncedo loluntu.
Yintoni enye, eyona nxalenye ilungileyo?
Iguquguquka kakhulu kwaye kulula ukuyikhulisa kunye nokuyifaka! I-GluonCV iqulethe yonke into oyifunayo ukuthatha iitalente zombono wekhompyuter yakho ukuya kwinqanaba elilandelayo, nokuba ungumfundi onamava okanye usaqala.
eziluncedo
- Ufakelo olulula kunye nokusetyenziswa
- Iqoqo elikhulu leemodeli eziqeqeshwe kwangaphambili
- Ii-algorithms zokufunda nzulu ezo zihamba phambili
- Ukusetyenziswa okulula ukuyiqonda
- Ukulungiswa okulula kunye nokuthunyelwa
neengozi
- Ukwenziwa ngokwezifiso okuncinci kunye nolawulo kunezinye izikhokelo
- Inkxaso yemisebenzi yombono engeyiyo eyekhompyuter ilinganiselwe
- Usetyenziso lwentengiso lunokuthintelwa ngenxa yezithintelo zelayisensi
15. H2O
I-H2O luhlalutyo lwedatha oluvulelekileyo kunye neqonga lokufunda ngomatshini elijolise ukwenza kube lula ukuba imibutho isebenzise ubukrelekrele bokufakelwa (AI) ukuqhuba imisebenzi yabo.
I-H2O.ai ye-AI Cloud yenza ukuqalisa nge-H2O kube lula ngakumbi, kunye ne-interface yokutsala kunye nokulahla ukuphuhlisa iimodeli zokufunda koomatshini ngaphandle kwezakhono zokubhala iikhowudi.
Iqonga likwabonelela ngokubanzi ukubonwa kwedatha kunye nobuchule bokuhlalutya, kunye nokuhlengahlengiswa kwemodeli kunye nokusasazwa. Amashishini anokusebenzisa i-H2O.ai ngokukhawuleza nangokulula ukwakha kunye nokuthumela iimodeli ze-AI ukujongana nemiceli mngeni yeshishini.
eziluncedo
- Tsala-uwise ujongano lokudala imifuziselo yokufunda koomatshini
- Ukuboniswa kwedatha ebanzi kunye nezixhobo zokuhlalutya, kunye nokulungiswa kwemodeli kunye nokusasazwa
- Iqonga lomthombo ovulekileyo elinomsebenzisi omkhulu kunye noluntu olunegalelo
- Inkxaso yee-algorithms ezininzi kunye neentlobo zedatha
neengozi
- Iimpawu ezithile zifikeleleka kuphela kwi-premium version yeqonga
- Xa kuthelekiswa namanye amaqonga, kunokuba nzima ukuseta kunye nokuqwalasela.
Gqibezela, Yeyiphi Elungileyo?
Ukukhetha isakhelo se-AI esifanelekileyo okanye iqonga kuxhomekeke kwinto ofuna ukuyenza ngayo. Ukuba ufuna isakhelo ekulula ukusisebenzisa kwaye sinoluntu olukhulu, iTensorFlow okanye iPyTorch inokuba lukhetho olufanelekileyo.
Ukuba ufuna iqonga eligxile ngakumbi kwiimodeli zokufunda ngomatshini, i-Azure ML Studio okanye i-H2O.ai inokuba yeyona ndlela ilungileyo.
Kwaye, ukuba ufuna isakhelo esilula ukwenza kunye nokuqwalasela, iSonnet okanye iGluonCV inokuba yindlela yokuhamba. Okokugqibela, isakhelo esifanelekileyo kuwe simiselwa ziimfuno zakho ezizodwa kunye nezinto ozithandayo.
Shiya iMpendulo