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AI Models Inotsanangurwa
Basics
Basics GUIDE
Kudzidziswa kweAI
Kudzidziswa kweAI inzira yekugadzirisa modhi-yekudzidza-muchina uchishandisa mienzaniso uye chinangwa chekudzidza.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Inoburitsa ma parameter akadzidza, senge huremu mune neural network. Kudzidzira kwakasiyana nekupa mirairo kune yakatodzidziswa modhi.
Zvakakosha zvinobuda
- Chinangwa uye data inotsanangura basa rekudzidzisa.
- Chengetedza kuongorora kwakasiyana kubva pakukodzera uye kusarudzwa kwemuenzaniso.
- Sevha preprocessing uye data shanduro pamwe chete modhi.
Kudzika Kwakadzika
Kumhanya kwakatariswa kwekudzidziswa kunotanga nezvinopinza uye mhinduro dzakanangwa. Iyo modhi inofanotaura mhinduro, basa rekurasikirwa rinoyera mutsauko, uye optimization algorithm inovandudza ma paramita ayo. Kudzokorora izvi pamusoro pezvikwata zvemienzaniso kunogona kuderedza kurasikirwa. Nguva (epoch) zvinoreva mumwe kupfuura nemudhata rekudzidzisa; haisi vimbiso yekufambira mberi. Iyo dataset uye chinangwa chinotsanangura iyo modhi inopihwa mubairo pakudzidza. Kudzidzira muenzaniso kufanotaura kutenga kunodzidzisa basa rakasiyana kubva pakuridzidzisa kufungidzira kugutsikana kwevatengi. Chiratidzo chiri nyore chinogona kuva chitsividzo chisina kunaka chemhedzisiro yakakosha. Shandisa mienzaniso yekusimbisa kusarudza marongero, wobva waongorora modhi yakasarudzwa pane imwe bvunzo seti. Chengetedza marekodhi emunhu mumwechete, gwaro, kana chiitiko pamwe chete kana kupatsanurwa kwaizoburitsa ruzivo. Kufembera, ongorora nezvenguva dzinotevera pane kutendera zvinoonekwa mune ramangwana kuti zviite kufanotaura. Sevha iyo data vhezheni, preprocessing mitemo, modhi gadziriso, uye ealuation mhinduro nenzvimbo yega yega. Modhi yakachengetwa isina tokenizer kana chimiro cheshanduko inogona kusaburitsa maitiro ekutanga. Kudzidzira kunopera chete nokuda kwekuedza kwakatsanangurwa; kuendesa chigumisiro kunowedzera kutarisa uye kushanda mabasa.
04Muenzaniso wakashanda
Imwe yekuvandudza mune toyi modhi
Shandisa mufananidzo wekufanotaura = uremu × kuisa, nekuisa 2, chinangwa 6, uye yekutanga huremu 1.
Mhosho ine squared ndeye (2 − 6)² = 16. Kubva pairi maererano nehuremu i2 × 2 × (2 − 6) = −16.
Pakudzidza chiyero 0.1, inotevera uremu ndeye 1 - 0.1 × (-16) = 2.6. Iko kufanotaura kutsva ndeye 5.2 uye kukanganisa kwakapetwa ndeye 0.64.
Zvazvinoratidza
Ichi chakavakwa kuverenga chinoratidza parameter yekuvandudza. Mumwe muenzaniso wakagadziridzwa haugadzirise kuita pamienzaniso mitsva.
Kuitwa muNyika yeChokwadi
Dzidzisa mukirasi mudiki pane zvakanyorwa zvikumbiro zvekutsigira uye wozviongorora pavhiki rinotevera.
Enzanisa fungidziro yezvinodiwa yakadzidziswa neyekutanga-vhiki yekupedzisira usati waita kuti ishande.
Kuzvishandisa
Nei zvichikosha
- Sarudzo dzakajeka. Inokubatsira kuparadzanisa zvakajeka zvichemo zvehunyanzvi kubva mumutauro wekushambadzira.
- Mutengo uye bhajeti. Iwe unogona kubvunza zvirinani kuita mibvunzo usati washandisa mari kana nguva.
- Team uye workflow. Zvikwata zvine nzwisiso yakagovaniswa inoita zvirinani chigadzirwa, mutemo, uye sarudzo dzekudzidza.
Chenjera
- Zvikwata zvakasiyana zvinogona kushandisa izwi rimwechete zvakasiyana, saka tsanangura nzvimbo nekukurumidza.
- Benchmarks inogona kutaridzika yakasimba nepo chaiyo-yenyika kuita isina kuenzana.
- Kuregeredza mhando yedata uye zvirongwa zvekuongorora zvinowanzogadzira mhedzisiro isina kusimba.
Matanho anotevera
- Tanga netsanangudzo yemutauro wakajeka yemhedzisiro yaunoda.
- Sarudza metric imwe yekubudirira uye imwe yekutadza mamiriro usati waedzwa.
- Mhanya mutyairi mudiki ane data remumiriri, kwete demo rakakwenenzverwa.
- Chinyorwa uko AI Kudzidzisa kunobatsira uye uko nzira dzakareruka dziri nani.
Sources uye kuwedzera kuverenga
- PyTorchOptimizing modhi parameters
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Mibvunzo inowanzo bvunzwa
Kupinda muchitima kunodzidzisa modhi here?
Chimbichimbi chinoshandura mamiriro azvino. Izvo hazvireve pachazvo zvinoreva uremu update. Kunyangwe sevhisi gare gare inoshandisa kudyidzana kwekudzidziswa zvinoenderana neyakasiyana data mutemo.
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