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Nzwisisa kuti AI chii, masisitimu anodzidza sei, kwavanokundikana, uye maitiro ekutonga zvirevo pasina hype.
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Kosi yega yega inosanganisira mhedzisiro yakajeka, hunyanzvi hwemepu, zviitiko zvekudzidzira, uye yakashandiswa capstone.
Nzwisisa kuti AI chii, masisitimu anodzidza sei, kwavanokundikana, uye maitiro ekutonga zvirevo pasina hype.
Shandisa AI zvine mutsindo uchidzivirira zvakavanzika, kutarisa zvinobuda, uye kuchengetedza kuzvidavirira kwevanhu.
Ongorora zviitiko zvekushandisa pabasa, mhanyisa vatyairi vakachengeteka, kuyera kukosha, uye kutaurirana shanduko zvine mutsindo.
Ongorora AI masisitimu kuburikidza nekodzero, kuenzana, hutongi, kuchengetedzeka, uye mhedzisiro yekufarira veruzhinji.
Nzwisisa mamodheru emitauro, kudzoreredza, vamiririri, kuongorora, mutengo, uye kuendesa zvidziviriro kuburikidza nehurongwa hwehurongwa.
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Momentum ndeye dhizaini kune gradient kudzika iyo inounganidza inomhanya avhareji yeakapfuura gradients, ichirega optimization ichiyerera nekukurumidza nemumipata uye kunyorova…
BasicsNesterov Yakawedzera Gradient (NAG) inzira ine hungwaru yekumhanya inotarira mberi isati yaita komputa gradient, ichipa kururamisa kutarisa-mberi.
BasicsKurasika katatu kunodzidzisa neural network kuisa zvinhu zvakafanana padyo pamwe chete uye zvinhu zvakasiyana zviri kure munzvimbo yekumisikidza.
BasicsLabel smoothing inzira yakapfava yekugadzika iyo inopfavisa yakaoma-inopisa yekudzidzisa zvinangwa, kuudza modhi mhinduro chaiyo inogoneka asi kwete zana…
BasicsYakareba Yenguva Yenguva Yekurangarira (LSTM) maseru imhando yakakosha yeinodzokororwa neural network unit yakavakirwa kurangarira ruzivo mukati mekutevedzana kwakareba.
BasicsK-Means is algorithm isina kutariswa iyo inogadzirisa data mumapoka eK nekutsvaga nzvimbo dzemasumbu.
BasicsK-Nearest Neighbors (KNN) inoronga nzvimbo itsva yedata nekutarisa paK mienzaniso yepedyo uye kutora vhoti yakawanda.
BasicsLogistic regression inofanotaura mukana wekuti chimwe chinhu ndechekirasi, senge spam kana kuti kwete spam, nekudzvanya mari inorema kuburikidza neS-yakaita curve.
BasicsNaive Bayes inokurumidza, probabilistic classifier yakavakirwa paBayes 'theorem inotora chimiro chese chakazvimirira chakapihwa kirasi.
BasicsROC curve inoronga kuti mugadziri anopatsanura sei makirasi maviri padanho rega rega resarudzo, uye AUC inomanikidza iyo curve yese kuita nhamba imwe.
BasicsA confusion matrix itafura yakapfava inopwanya kufanotaura kwemugadziri kuita maverengero chaiwo uye asiri iwo ekirasi yega yega.
BasicsIyo bias-variance tradeoff inotsanangura kuti sei modhi inogona kukundikana nekunyanya kupusa kana kuomesesa.
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