INKAMPANI
IZINSIZA

I-Synaptic Strategists

Bopha amandla amanethiwekhi e-neural namasevisi ethu ochwepheshe, ukuklama nokusebenzisa amasistimu wokubala athuthukile alingisa ikhono lobuchopho bomuntu lokufunda, ukuzivumelanisa, nokuxazulula izinkinga eziyinkimbinkimbi.

Udinga ukukhuluma nothile manje?

Ukuthuthukisa ikusasa le-AI ngezinsizakalo zenethiwekhi ye-neural professional

Ithimba lethu lochwepheshe abanolwazi nabazinikezele banolwazi lokuklama nokwakha izixazululo eziyingqayizivele zenethiwekhi ye-neural ngezidingo zebhizinisi lakho. Sihlinzeka ngezixazululo zekhwalithi ephezulu nemikhiqizo ekuvumela ukuthi usebenzise ngokugcwele ubuchwepheshe obusafufusa be-AI.

OKUNINGI NGOKUTHUTHUKISWA KWENEURAL NETWORK KANYE NEZINKONZO ZETHU ZOKUTHUTHUKISWA KWENEURAL NETWORK

Kuyini ukuthuthukiswa kwenethiwekhi ye-neural futhi izinsiza zethu zokuthuthukisa inethiwekhi ye-neural zingakusiza kanjani?

Ukuthuthukiswa kwenethiwekhi yezinzwa kubhekisela ekudalweni nasekusetshenzisweni kwamanethiwekhi e-neural okwenziwa, okungama-algorithms ekhompuyutha aklanyelwe ukufunda nokuthuthukisa ngokuhamba kwesikhathi ngokusekelwe kudatha yokufaka. Amanethiwekhi e-Neural asetshenziswa ezinhlelweni zokusebenza eziningi, ezifana nokubonwa kwesithombe nenkulumo, ukucubungula ulimi lwemvelo, nokumodela ukubikezela.

Izinsizakalo zethu zokuthuthukiswa kwenethiwekhi ye-neural zinikeza amabhizinisi izisombululo zenethiwekhi ye-neural ezingokwezifiso ezenziwe ngokwezidingo zabo ezithile. Sineqembu labathuthukisi benethiwekhi ye-neural abanolwazi abasebenza eduze namakhasimende ukuthuthukisa izixazululo zenethiwekhi ye-neural ezingokwezifiso ezihambisana nezinhloso zabo zebhizinisi.

Amasevisi ethu okuthuthukisa inethiwekhi ye-neural

Ubuchwepheshe be-Cheetah, umhlinzeki oholayo wezixazululo zobuchwepheshe ezisezingeni eliphezulu, buhlinzeka ngezinsiza eziningi ezihlangabezana nezidingo ezihlukahlukene zokuqashelwa nokuhlonza. Ubuchwepheshe bethu bufinyelela ekuboneni nasekucubunguleni umbhalo, inkulumo, nomculo, kanye nokuhlonza izinto, izithombe, nobuso ezithombeni nakumavidiyo.

Ngaphezu kwalokho, sihamba phambili ekudaleni okuqukethwe okusha kwemidiya okuhlanganisa umbhalo, izithombe, namavidiyo sisebenzisa intuthuko yakamuva kumanethiwekhi we-neural. Ngobuchwepheshe bethu besimanje kanye nethimba elinamakhono aphezulu, siqinisekisa imiphumela enembayo eyedlula okulindele. Sivumele ukuthi siguqule umbono wakho ube ngokoqobo kunanini ngaphambili.

I-Convolutional Neural Networks, CNN

I-Convolutional Neural Networks, CNN

I-CNN iwuhlaka lwesofthiwe olunamandla olunohlu olubanzi lwezinhlelo zokusebenza, okuhlanganisa ukubona into nobuso, ukuhlukaniswa kwenkulumo, nokuhlonza amamodeli athile obuchwepheshe. Ukunemba kwayo kanye nokuguquguquka kwayo kuyenza ibaluleke ezimbonini nasemikhakheni eyahlukene.

I-Generative Neural Networks, i-GAN

I-Generative Neural Networks, i-GAN

Amanethiwekhi e-neural akhiqizayo adala okuqukethwe kwedijithali okuhlukahlukene, okuhlanganisa umbhalo, izithombe, umculo, nevidiyo. Ngokuvamile zisetshenziselwa ukuhlela izithombe ezizenzakalelayo futhi zingashintsha isimo sobuso, ukukhanya, nobudala, phakathi kwezinye izinto, konke ngaphandle kokungenelela okwenziwa ngesandla.

Isizukulwane Sesithombe Esisebenzisa INeural Networks

Isizukulwane Sesithombe Esisebenzisa INeural Networks

Amanethiwekhi e-Neural angakha izithombe zezitolo eziku-inthanethi nemidlalo yevidiyo nge-AI nokufunda ngomshini. Lobu buchwepheshe bukhiqiza izithombe ezingokoqobo nezinemininingwane yokuthengisa nokuzijabulisa kwedijithali.

Imibhalo Edala / Ukubhala NgamaNethiwekhi We-Neural

Imibhalo Edala / Ukubhala NgamaNethiwekhi We-Neural

Amanethiwekhi e-Neural akhiqiza izingcezu ezibhaliwe ezinokuqonda. Lobu buchwepheshe bukhiqiza okuqukethwe okuhehayo, okuhlobene ngokusebenzisa ama-algorithms okufunda ajulile, okuholela kumbhalo oyingqayizivele, omkhulu, nowusizo ofanele ukusetshenziswa okuhlukahlukene.

Inethiwekhi Ye-Neural Yokubonwa Kobuso

Inethiwekhi Ye-Neural Yokubonwa Kobuso

Ukufunda ngomshini kusebenzisa amanethiwekhi e-neural ukwenza imisebenzi eyinkimbinkimbi efana nokubona ubuso nokuhlaziya imizwa. Lobu buchwepheshe bezinguquko bunamandla okuguqula ukusebenzisana kwabantu nemishini.

Amanethiwekhi Neural Nokuqashelwa Kwesithombe

Amanethiwekhi Neural Nokuqashelwa Kwesithombe

Ukufunda ngomshini kunika amandla ukubonwa kwento nesithombe, kuguqula izimboni ezifana nokunakekelwa kwezempilo nokumaketha. Amathuba ajabulisayo okuthuthuka okuqhubekayo kanye nokuguqula ukuqonda kwethu umhlaba osizungezile.

Uhlelo lokusebenza lwamanethiwekhi we-Neural ebhizinisini

Amanethiwekhi e-Neural anezinhlelo zokusebenza ezahlukahlukene ezingaphezu kwezinhlelo zokuqashelwa kwebhizinisi. Angasetshenziswa kwezezimali ukubikezela uchungechunge lwesikhathi, umuthi wokwenza lula amasu okuxilonga ingqondo, ikhemistri kanye nebhayoloji yokubikezela izakhiwo zenhlanganisela yamakhemikhali, i-neuromanagement yokuphatha izinto ezihambayo, kanye nasemnothweni wokumodela kwezomnotho nezibalo.

Ingabe izinsiza zokuthuthukisa inethiwekhi ye-Cheetah zingcono kakhulu?

Sisebenza ngokukhethekile ekuthuthukiseni izixazululo zenethiwekhi ye-neural esezingeni eliphezulu ezinikeza amabhizinisi amandla okusebenzisa amandla obuhlakani bokwenziwa. Ithimba lethu lonjiniyela abangochwepheshe nososayensi bedatha basebenzisa amathuluzi akamuva nobuchwepheshe ukuze bakhe amamodeli enethiwekhi ye-neural yangokwezifiso angenza imisebenzi eyinkimbinkimbi ngokunemba okungenakuqhathaniswa nesivinini. Sisebenzisana eduze namakhasimende ethu ukuze siqonde izinjongo nezidingo zebhizinisi lawo, futhi sithuthukise izixazululo eziklanyelwe ezihlangabezana nezidingo zawo. Izixazululo zethu zenethiwekhi ye-neural zenzelwe ukusebenza okuphezulu, ukukala, nokusebenza kahle, ziletha imiphumela enembile nefike ngesikhathi.

Ochwepheshe be-AI abahamba phambili embonini

Ochwepheshe be-AI abahamba phambili embonini

Ochwepheshe be-AI beCheetah basebenzisa amasu namathuluzi aphambili ukuze banikeze izisombululo ezinobuhlakani ezihlangabezana nezidingo ezihlukile zamaklayenti. Siletha amasistimu enethiwekhi ye-neural ehambisanayo anemiphumela elinganisekayo nolwazi olubanzi lwe-AI nolwazi.

Izixazululo ezintsha ze-AI

Izixazululo ezintsha ze-AI

ICheetah inikeza izixazululo ze-AI ezithuthukisiwe zokuthuthukisa ukusebenza kahle kwebhizinisi, ukunciphisa izindleko, nokuhlala ngaphambi kokuncintisana. Indlela yethu emisha nokuzinikela ekusebenzeni kahle kuqinisekisa imiphumela ehlukile kumakhasimende ethu.

Amasevisi Okwesekwa Okufunwa Ngaphakathi

Amasevisi Okwesekwa Okufunwa Ngaphakathi

Ithimba lethu losekelo linikeza izinsizakalo ezithembekile ezifunekayo ukuze uqinisekise ukuthi amasistimu akho asebenza kahle ngaphandle kokuhixaka okungalindelekile. Siyatholakala 24/7 ukuqinisekisa ukugcinwa kwamanethiwekhi akho e-neural ukuze asebenze kahle.

Sheshisa Amaphrojekthi

Sheshisa Amaphrojekthi

Sihlinzeka ngezinsizakalo zokuthuthukiswa kwenethiwekhi ye-neural ezenzelwe ukuhlangabezana nezidingo zebhizinisi ezihlukene, ziletha izixazululo eziphumelelayo nezisheshayo. Sihlala ngaphambi kwejika ngokuhambisana nentuthuko emkhakheni kanye nokwenza lula inqubo ukuze sihlangabezane nezidingo zamaklayenti ezihlukile.

I-scalability elula

I-scalability elula

Izinhlelo zethu zenethiwekhi ye-neural eziguquguqukayo zihlangabezana nezidingo eziguqukayo zamabhizinisi. Ngezixazululo ze-AI ezisezingeni eliphezulu, amaklayenti angahlanganisa izici ezintsha namakhono ukuze ahlale ngaphambi komncintiswano emakethe eshintsha njalo.

Yehlisa Izindleko

Yehlisa Izindleko

Izixazululo zethu zobuchwepheshe obuthuthukisiwe zenza imisebenzi ephindaphindwayo ngokuzenzakalelayo futhi ziqondise ukusebenza kwebhizinisi, zonga isikhathi nezindleko kuyilapho zanda ukusebenza kahle. Amasistimu ethu e-AI asiza amabhizinisi ukuthi azuze imiphumela engcono, athuthukise izinqubo zawo, futhi andise ukutshalwa kwawo kukhulu ukuze kube nempumelelo yesikhathi eside.

UKUPHATHWA OKUHOLA EMBUKWENI

Siyathembisa, awukaze ube nomsebenzi ophethwe kanje.

Kusukela emaqenjini asekela amaphrojekthi angu-24x7x365 kuya endleleni yethu eyingqayizivele yokuklama okusekelwe ku-sprint, inqubo yethu yokuphatha iphrojekthi ifana nezinye. Amanye ama-ejensi awakwazi ukuncintisana ngoba sihlala siqamba izindlela ezintsha zokukusiza kangcono.

SIKWENZA KANJANI

Inqubo.

Le nqubo ivamise ukubandakanyeka ekuthuthukisweni kwenethiwekhi ye-neural

Kulesi sinyathelo sokuqala, umthuthukisi wesofthiwe uzohlaziya idatha futhi akhombe inkinga okudingeka ixazululwe. Idatha ingase ivele emithonjeni ehlukene, njengezizindalwazi, imibhalo yombhalo, izithombe, nokuningi. Umthuthukisi wesofthiwe uzosebenzisa le datha ukuze enze isitatimende senkinga esichaza inselele okuyiyonayona okufanele ixazululwe.

Ngokusekelwe esitatimendeni senkinga, umthuthukisi wesofthiwe uzokhetha i-neural network architecture efanele. Lokhu kungaba inethiwekhi ye-neural yokudlulisela phambili, inethiwekhi ye-convolutional neural, inethiwekhi ye-neural eqhubekayo, noma olunye uhlobo lwenethiwekhi ye-neural. Umthuthukisi wesofthiwe uzophinde akhethe ama-hyperparameter afanelekile, njengezinga lokufunda, inani lezendlalelo, nenani lamanodi.

Kulesi sinyathelo, umthuthukisi wesofthiwe uzocubungula ngaphambilini idatha ukuze ayilungiselele inethiwekhi ye-neural. Lokhu kungase kuhlanganise ukwenza idatha ibe evamile, ukuhlukanisa idatha ibe amasethi okuqeqesha namasethi okuhlola, nokuningi.

Ngemuva kokuthi idatha isicutshungulwe ngaphambilini, umthuthukisi wesofthiwe uzoqeqesha inethiwekhi ye-neural. Lokhu kuhilela ukuphakela idatha kunethiwekhi, ukulungisa izisindo nokuchema, nokuphinda kuze kube yilapho inethiwekhi isizuze ukunemba obekufunayo.

Ngemva kokuba inethiwekhi ye-neural isiqeqeshiwe, umthuthukisi wesofthiwe uzohlola imodeli. Lokhu kuhlanganisa ukuhlola imodeli ngedatha engabonakali kanye nokulinganisa ukunemba kwemodeli. Umthuthukisi we-software uzophinde ahlole imodeli nganoma yiziphi izinkinga ezingaba khona, njengokugcwalisa ngokweqile noma ukufakwa ngaphansi.

Ngemuva kokuthi imodeli isihloliwe, umthuthukisi wesoftware uzothuthukisa imodeli. Lokhu kungase kuhlanganise ukulungisa ama-hyperparameter, njengezinga lokufunda, inani lezendlalelo, nenani lamanodi. Umthuthukisi we-software angase futhi asebenzise amasu afana nokujwayelekile noma ukuyeka ukuze athuthukise ukunemba kwemodeli.

Ngemuva kokuthi imodeli isithuthukisiwe, umthuthukisi wesoftware uzokhipha imodeli. Lokhu kungase kuhlanganise ukuthumela imodeli kuseva yewebhu, idivayisi yeselula, noma inkundla yamafu.

Ekugcineni, umthuthukisi wesoftware uzoqapha futhi agcine imodeli. Lokhu kungase kuhlanganise ukuhlola njalo imodeli ngedatha entsha, ukuqapha ukunemba kwemodeli, nokwenza izinguquko njengoba kudingeka.

100+ Ozakwethu Abathenjwa

Sithanda ukuklama amaphrojekthi wekusasa. Bona ukuthi sikwenzelani i-DotBot.

Funda kabanzi mayelana nokuthi siklama ini inkampani yethu engudadewethu i-DotBot nokuthi ibasiza kanjani ukuthi bacabange kabusha ukumaketha nge-MarketBot kanye nokushintsha umklamo unomphela nge-DesignBot.

Abantu bayayithanda iCheetah
futhi bayayithanda ikhodi yethu.

Zitholele ukwaneliseka kwamakhasimende ethu ahlangabezane nomthelela wezinsizakalo zethu zokumaketha kwedijithali. Funda ubufakazi bethu obukhazimulayo ukuze ubone imiphumela esiyizuzile kumabhizinisi afana nelakho.

Vinay Singh

Vinay Singh

Distributed Web
Chief Scientist

NjengoSosayensi Omkhulu Wephrojekthi Yewebhu Esatshalalisiwe, ngingafakaza ngobunkimbinkimbi bokwakha isofthiwe eyisisekelo yalolu hlelo olusha. Sabona ukuthi sidinga uzakwethu wezobuchwepheshe onamakhono akhethekile nolwazi lokuthuthukisa isofthiwe. Yingakho siphendukele ophikweni lwezobuchwepheshe lwe-Cheetah Agency ngobuchwepheshe babo.

Ithimba labo lonjiniyela abanekhono likwazile ukusinikeza isixazululo esiphelele esihlangabezana nezidingo zethu ezihlukile. Ulwazi lwabo lobuchwepheshe obuphambili, okuhlanganisa i-blockchain kanye nekhompyutha esabalalisiwe, lwalubalulekile empumelelweni yephrojekthi yethu.

UJohane

UJohane

DotBot, Evangelist

Njengomphumela wesu eliphelele le-Cheetah Agency lokumaketha kwedijithali yesofthiwe yethu esekelwe ku-AI, ebesikulindele kweqiwe. Batuswa kakhulu uma kukhulunywa ngobuchule bokumaketha kwesoftware esekwe ku-AI kanye nemiphumela ngenxa yokuthi umkhankaso wabo ohlosiwe futhi ophumelelayo ukhiqize ukuhola okuphezulu nokuqashelwa komkhiqizo. Ngabe ngishilo ukuthi babhala isoftware ye-AI ezingeni eliphezulu kakhulu?

Ubukhulu

Ubukhulu

dRide, Chief Technology Officer

Njenge-CTO yenkampani ehlukaniselwe indawo yokwabelana ngokugibela, ngibe nelungelo lokuhlanganyela nethimba lokuthuthukisa isofthiwe le-Cheetah Agency ukuthuthukisa i-dRide. Ubuchwepheshe bethimba labo ekuthuthukisweni kwesofthiwe nokuzibophezela kwabo ekuletheni izixazululo zekhwalithi kwakubalulekile empumelelweni yephrojekthi yethu.

I-Cheetah Agency ingihlabe umxhwele ngendlela yabo entsha neyokucabanga phambili ekuthuthukisweni kwesoftware. Babehlale befuna izixazululo ezintsha nezisungulayo ezinselele zobuchwepheshe eziyinkimbinkimbi, futhi ithimba labo belinokuqonda okujulile kwentuthuko yakamuva yezobuchwepheshe.

Ngaphezu kwalokho, kwangihlaba umxhwele ukuzimisela kwabo ukulalela izimfuneko zethu nokuhlela izixazululo zabo ukuze zihlangabezane nezidingo zethu. Ithimba labo belisebenzisana kakhulu futhi livumelana nezimo, futhi bakwazi ukuzivumelanisa nezinguquko nezibuyekezo kuyo yonke inqubo yentuthuko kalula.

Cory

Cory

WorldRaps, Co-Founder

Umfana wakho u-Cory, owaziwayo njengoMayhem kanye nami kufanele simemeze ku-Cheetah Agency ngomsebenzi wabo wokucisha umlilo kunethiwekhi ye-WorldRaps kanye nawo wonke amasayithi ethu angaphansi njenge-USARaps, AsiaRaps, EuroRaps, AfricaRaps, CanadaRaps, TexasRaps, GeorgiaRaps, CaliRaps, FloridaRaps , NewYorkRaps, ChicagoRaps, DetroitRaps, MidwestRaps kanye nohlu luyaqhubeka.

Umdlalo weCheetah Agency ubusezingeni eliphezulu. Ukwakheka kwabo kwewebhu namakhono okuthuthukisa bekumangalisa, futhi basebenze ngokungakhathali ukwenza amasayithi ethu akhanye. Babenezikhathi ezithile eziqinile, kodwa abazange bakhubeke futhi benze konke ngesikhathi, ngaso sonke isikhathi.

Konke kwakumayelana nokusebenzisana, futhi balalela umbono wethu wezingosi zethu, benza isiqiniseko sokuthi yonke into yayifana ncamashi nendlela esasifuna ngayo. Baletha ukushisa.

Iwebhu Esabalalisiwe

UCWANINGO LWECABA LOKUTHUTHUKISA

Njengoba kunezindawo ezingaphezu kuka-46 ezweni lonke, kufanele uzame ukuthola Cheetah eduze nawe.

I-Cheetah Agency ikhulisa ngokushesha umkhondo wayo ngezindawo ezingaphezu kuka-45 ezweni lonke, okuhlanganisa nezimakethe ezinkulu ezifana ne-Dallas, i-Miami, i-Los Angeles, ne-Sooke, BC. Njengoba kuvulwa indawo entsha e-Dubai, sizibophezele ekuhlinzekeni ngezinsizakalo zokuthengisa zedijithali ezisezingeni eliphezulu emabhizinisini ezweni lonke nangale kwayo.

Ukwandisa inethiwekhi yethu yezindawo kusivumela ukuthi sisondele kumakhasimende ethu ebhizinisi, siwanikeze usekelo olusebenzayo aludingayo ukuze afinyelele imigomo yawo yokumaketha. Ithimba lethu lochwepheshe liyaqonda izidingo ezihlukile zamabhizinisi ebhizinisi, futhi silwela ukuletha izixazululo eziqondene nawe ukuze siwasize aphumelele emakethe encintisana kakhulu.

Ngokusondelana namakhasimende ethu, siyakwazi ukuthuthukisa ukuqonda okujulile kwebhizinisi lawo, futhi sinikeze amasu okumaketha edijithali angokwezifiso ahambisana nezinjongo zawo ezithile. Indlela yethu yokusebenza ngezandla isivumela ukuthi silethe imiphumela eyenza umthelela ophusile, futhi siyaziqhenya ngekhono lethu lokusekela amakhasimende ethu ebhizinisi ekufinyeleleni ukuphakama okusha.

Ulungele ukuhlola impumelelo yakho elandelayo? Zitholele ukuthi amanethiwekhi e-neural angadala kanjani umhlaba wamathuba - Qalisa Manje!

This is a staging enviroment

Let's get to work.

Please enable JavaScript in your browser to complete this form.
Step 1 of 5
Name

We hate spammers and we NEVER sell information. It’s despicable behavior.

Asingene emsebenzini.

Please enable JavaScript in your browser to complete this form.
Step 1 of 5
Name

Siyabazonda abantu abasebenzisa ugaxekile futhi AKAZE sithengise ulwazi. Ukuziphatha okubi.