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
133 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
133 kwe 1019 imihlahlandlela ebonisiwe. Hlunga ngethrekhi noma sesha ngenhla.
I-CycleGAN ifunda ukuhumusha izithombe phakathi kwezizinda ezimbili ezibonakalayo (njengamahhashi ukuya kumadube, noma izithombe ukuya emidwebeni) ngaphandle kokudinga ukufaniswa ngaphambi nangemuva...
I-AI ebonakalayoI-SPADE (I-Spatially-Adaptive Normalization) iphendula isakhiwo esinelebula esilula, njengemephu yencwadi yemibala yengane ethi 'isibhakabhaka lapha, utshani laphaya, isihlahla lapha'...
I-AI ebonakalayoI-DragGAN ikuvumela ukuthi uhlele isithombe ngokuhudula amaphuzu ngokoqobo: thatha indawo bese usihudulela lapho uqondiswe khona, futhi isithombe siyawohloka ngokwangempela, sishintsha ukuma...
I-AI ebonakalayoAma-Diffusion Transformers (DiTs) ashintshanisa i-U-Net ye-convolutional enhliziyweni yezithombe namajeneretha wevidiyo ukuze athole umgogodla we-Transformer.
I-AI ebonakalayoIsici se-Pyramid Networks (FPN) sivumela izitholi zibone izinto ngosayizi abahluke kakhulu ngokwakha izici 'zephiramidi' enezilinganiso eziningi ngemali ephansi.
I-AI ebonakalayoI-Non-Maximum Suppression (NMS) isinyathelo sokuhlanza esiguqula inqwaba engcolile yamabhokisi okuthola agqagqene abe ibhokisi elilodwa elihlelekile ngento ngayinye.
I-AI ebonakalayoI-Spatial Transformer Networks (STNs) amamojula afundekayo avumela inethiwekhi ye-neural inyakaze, ijikelezise, inqamule, noma ikale kabusha okokufaka kwayo ukuze igxile kulokho...
I-AI ebonakalayoUkulinganisa ukujula kwe-stereo kuthola kabusha ukuthi izinto zikude kangakanani ngokuqhathanisa ukubukwa kwekhamera okubili okususwe kancane, njengoba kwenza amehlo akho omabili.
I-AI ebonakalayoIfu lephoyinti isethi yamaphoyinti e-3D (X, Y, Z) athwebula umumo wezinto zangempela nezikhala, ngokuvamile kusukela ku-LiDAR noma izinzwa zokujula.
I-AI ebonakalayoUmsebenzi webanga esayiniwe (SDF) uchaza umumo we-3D ngokukutshela, nganoma iyiphi indawo emkhathini, ukuthi kukude kangakanani endaweni eseduze, ngophawu oluthi...
I-AI ebonakalayoI-convolutions ekhubazekile ivumela inethiwekhi ye-neural igobe igridi yayo yesampula ukuze ilandele umumo wangempela wezinto esikhundleni sokuyiphoqa ngefasitela lesikwele eliqinile.
I-AI ebonakalayoI-DINO iyindlela ezigadwayo eqeqesha isiguquli sombono ukuze siqonde izithombe ezingenawo amalebula nhlobo, ngokwenza inethiwekhi izifundise yona.
Check what you learned with a topic quiz, then explore our structured courses or work toward a certificate. Every guide stays free to read.