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.
I-Test-time augmentation (TTA) isebenzisa imodeli eqeqeshiwe ezinguqulweni ezimbalwa eziguquliwe zokokufaka okufanayo kanye nezilinganiso zokuqagela.
UbuchwephesheUkusampula okungalungile kanye ne-Noise Contrastive Estimation (NCE) kungamaqhinga avumela amamodeli afunde kumagama amakhulu ngaphandle kokubala i-softmax egcwele ebizayo.
UbuchwephesheI-InfoNCE ukulahlekelwa okuhlukile okufundisa imodeli ukudonsa amapheya afanayo ndawonye futhi ihlukanise amapheya angafani ekushumekeni isikhala.
UbuchwephesheI-Stochastic Weight Averaging (SWA) ithatha isilinganiso esilula sezisindo zemodeli kusuka kumaphuzu amaningana sekwephuzile ekuqeqesheni esikhundleni sokugcina okokugcina…
UbuchwephesheI-Lookhead neBhubesi ama-twist amabili esimanje ekusebenziseni i-neural-network.
UbuchwephesheI-Mixup ne-CutMix izindlela zokwandisa idatha ezidala izibonelo zokuqeqesha ezintsha ngokuhlanganisa izithombe ezimbili namalebula azo.
OkuyisisekeloUkulahleka kwe-triplet kufundisa inethiwekhi ye-neural ukubeka izinto ezifanayo eduze nezinto ezingafani ziqhelelene endaweni yokushumeka.
UbuchwephesheIzimayini ezinzima ezingezinhle zikhetha izibonelo ezifundisayo, okunzima ukuzihlukanisa ukuziqeqesha esikhundleni sokumosha umzamo ezintweni ezilula imodeli esezivele izithola...
OkuyisisekeloUkushelela ilebula kuyisu elilula lokujwayela elithambisa izinhloso zokuqeqesha ezishisayo, ukutshela imodeli impendulo eyiyo kungenzeka kakhulu kodwa hhayi i-100…
UbuchwephesheAmanethiwekhi we-Capsule ayisakhiwo se-neural esihlanganisa ama-neurons abe 'amaphilisi' akhipha ama-vector afaka ikhodi kokubili ukuthi isici sikhona kanye nesimo saso...
UbuchwephesheI-reservoir computing iyindlela enqamuleli ehlakaniphile yokuqeqesha amanethiwekhi aphindelelayo: shiya 'ichibi' elikhulu, elixhumeke ngokungahleliwe lama-neurons elilungisiwe futhi isitimela kuphela...
OkuyisisekeloAmaseli Enkumbulo Yesikhathi Esifushane (i-LSTM) awuhlobo olukhethekile lweyunithi yenethiwekhi ye-neural ephindelelayo eyakhelwe ukukhumbula ulwazi ekulandeleni okude.
Hlola okufundile ngombuzo wesihloko, bese uhlola izifundo zethu ezihlelekile noma usebenzela ukuthola isitifiketi. Wonke umhlahlandlela uhlala ukhululekile ukufunda.