I-AI Foundations
Qonda ukuthi iyini i-AI, ukuthi amasistimu afunda kanjani, lapho ehluleka khona, kanye nendlela yokwahlulela izimangalo ngaphandle kokukhohlisa.
Umtapo wezincwadi we-AI wamahhala
1019 imihlahlandlela yesiNgisi esicacile, izindlela zokufunda ezihlelekile, nomtapo wolwazi ovulekile — wakhiwe inhlangano engenzi nzuzo ye-501(c)(3) ezimele ukuze noma ubani aqonde i-AI yesimanje.
Qala lapha
Isifundo ngasinye sihlanganisa imiphumela esobala, amakhono afakwe kumephu, imisebenzi yokuzilolonga, kanye netshe eliyinhloko elisetshenzisiwe.
Qonda ukuthi iyini i-AI, ukuthi amasistimu afunda kanjani, lapho ehluleka khona, kanye nendlela yokwahlulela izimangalo ngaphandle kokukhohlisa.
Sebenzisa i-AI ngendlela ekhiqizayo kuyilapho uvikela ubumfihlo, ubheka imiphumela, futhi ulondoloza ukuziphendulela komuntu.
Linganisa izimo zokusetshenziswa kwendawo yokusebenza, sebenzisa abashayeli bezindiza abaphephile, kala inani, futhi uxhumane nezinguquko ngokuzibophezela.
Hlaziya izinhlelo ze-AI ngokusebenzisa amalungelo, ukulingana, ukubusa, ukuphepha, kanye nemiphumela yenzuzo yomphakathi.
Qonda amamodeli olimi, ukubuyisa, abasebenzeli, ukuhlola, izindleko, nokuvikela ukusetshenziswa ngokuklama kwesistimu okusebenzayo.
Amathrekhi esihloko
Gxumela endaweni oyikhathalelayo. Wonke amathrekhi anemihlahlandlela eminingi yesiNgisi esilula.
Umtapo wolwazi ogcwele
1019 kwe 1019 imihlahlandlela ebonisiwe. Hlunga ngethrekhi noma sesha ngenhla.
Ukugeleza okuvamile amamodeli akhiqizayo aguqula umsindo olula (njenge-Gaussian) ube idatha eyinkimbinkimbi ngochungechunge lwezinto ezingaguquki, ezihlukanisekayo...
UbuchwephesheAmamodeli asuselwa kumandla (ama-EBM) afunda umsebenzi we-scalar 'amandla' onikeza amanani aphansi kudatha ebambekayo kanye namanani aphezulu kudatha engakholakali, echaza...
I-AI ebonakalayoI-Wasserstein GAN (WGAN) idizayina kabusha inhloso yokuqeqeshwa ye-GAN esebenzisa ibanga le-Wasserstein esikhundleni sokulahlekelwa okuyi-min-max kwasekuqaleni.
I-AI ebonakalayoAma-GAN anemibandela (cGANs) anweba ama-GAN ajwayelekile ngokuphakela ulwazi olwengeziwe, njengelebula yekilasi noma umbhalo, kukho kokubili ijeneretha nombandlululi.
I-AI ebonakalayoI-Pix2Pix iyi-GAN enemibandela efunda ukuhumusha uhlobo olulodwa lwesithombe lube kolunye, njengokuguqula umdwebo ube isithombe noma imephu ibe umbono wesathelayithi.
I-AI ebonakalayoUkufakwa kombala kwesithombe kusebenzisa i-AI ukwengeza umbala ozwakalayo, ongokoqobo ezithombeni ezimnyama nokumhlophe nefilimu.
I-AI ebonakalayoIsakhiwo esivela ku-Motion (SfM) sakha kabusha i-3D scene geometry kanye nokuma kwekhamera kusukela kusethi yezithombe ezigqagqene ze-2D ezithathwe emibonweni ehlukene.
I-AI ebonakalayoI-Multi-View Stereo (MVS) ithatha izithombe eziningi ezilinganiselwe zesigcawu futhi ikhiqize ukwakhiwa kabusha kwe-3D eminyene ngokulinganisa ukujula cishe kuwo wonke amaphikseli.
UbuchwephesheIqhinga lokonga inkumbulo elipaka ukugcinwa okunzima kokuqeqeshwa (izifunda ze-optimizer, ama-gradient, kwesinye isikhathi izisindo) ku-CPU RAM noma kuma-NVMe SSD esikhundleni…
UbuchwephesheAmasu okugcina isimo sokuqeqeshwa semodeli izingcezu (shards) ukuze amamodeli amakhulu akwazi ukugcinwa futhi alayishwe kabusha ngaphandle kokuminyanisa inkumbulo noma imikhawulo yediski, kanjalo...
UbuchwephesheIndlela uhlaka lwe-AI oluyaba ngayo, luphinde lusebenzise, futhi lubuyise inkumbulo ekhawulelwe ku-GPU, nokuthi kungani izikhala ezisele (ukuhlukaniswa) zingabangela amaphutha angaphandle kwenkumbulo ngisho...
IzinkampaniI-Granite umndeni wakwa-IBM wamamodeli e-AI avulekile, agxile ebhizinisini akhelwe imisebenzi yebhizinisi njengokubhala amakhodi, ukuqonda amadokhumenti, nokubuyiswa.
Hlola okufundile ngombuzo wesihloko, bese uhlola izifundo zethu ezihlelekile noma usebenzela ukuthola isitifiketi. Wonke umhlahlandlela uhlala ukhululekile ukufunda.