Raibhurari yemahara yeAI

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84 magwara eChirungu, nzira dzakarongeka dzekudzidza, uye raibhurari yakavhurika — yakavakwa neyakazvimiririra 501(c)(3) isingabatsiri kuitira kuti chero munhu anzwisise AI yemazuva ano.

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Tanga pano

Vashanu Mhedzisiro-yakavakirwa makosi

Kosi yega yega inosanganisira mhedzisiro yakajeka, hunyanzvi hwemepu, zviitiko zvekudzidzira, uye yakashandiswa capstone.

Musoro wenyaya

Bhurawuza nekumhanya

Svetukira munharaunda yaunofarira. Nzira yega yega ine akawanda akajeka-Chirungu magwaro.

Raibhurari yakazara

Zvese zvinotungamira

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Basics

Stochastic Gradient Descent ine Momentum

Momentum ndeye dhizaini kune gradient kudzika iyo inounganidza inomhanya avhareji yeakapfuura gradients, ichirega optimization ichiyerera nekukurumidza nemumipata uye kunyorova…

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Basics

Nesterov Yakawedzera Gradient

Nesterov Yakawedzera Gradient (NAG) inzira ine hungwaru yekumhanya inotarira mberi isati yaita komputa gradient, ichipa kururamisa kutarisa-mberi.

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Basics

Kurasikirwa Kwetatu uye Metric Kudzidza

Kurasika katatu kunodzidzisa neural network kuisa zvinhu zvakafanana padyo pamwe chete uye zvinhu zvakasiyana zviri kure munzvimbo yekumisikidza.

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Basics

Label Smoothing

Label smoothing inzira yakapfava yekugadzika iyo inopfavisa yakaoma-inopisa yekudzidzisa zvinangwa, kuudza modhi mhinduro chaiyo inogoneka asi kwete zana…

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Basics

Masero ekurangarira kwenguva refu kwenguva pfupi

Yakareba Yenguva Yenguva Yekurangarira (LSTM) maseru imhando yakakosha yeinodzokororwa neural network unit yakavakirwa kurangarira ruzivo mukati mekutevedzana kwakareba.

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Basics

K-Zvinoreva Kubatanidza

K-Means is algorithm isina kutariswa iyo inogadzirisa data mumapoka eK nekutsvaga nzvimbo dzemasumbu.

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Basics

K-Vavakidzani Vepedyo

K-Nearest Neighbors (KNN) inoronga nzvimbo itsva yedata nekutarisa paK mienzaniso yepedyo uye kutora vhoti yakawanda.

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Basics

Logistic Regression

Logistic regression inofanotaura mukana wekuti chimwe chinhu ndechekirasi, senge spam kana kuti kwete spam, nekudzvanya mari inorema kuburikidza neS-yakaita curve.

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Basics

Naive Bayes Classifiers

Naive Bayes inokurumidza, probabilistic classifier yakavakirwa paBayes 'theorem inotora chimiro chese chakazvimirira chakapihwa kirasi.

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Basics

ROC Curves uye AUC

ROC curve inoronga kuti mugadziri anopatsanura sei makirasi maviri padanho rega rega resarudzo, uye AUC inomanikidza iyo curve yese kuita nhamba imwe.

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Basics

Kuvhiringidzika Matrices

A confusion matrix itafura yakapfava inopwanya kufanotaura kwemugadziri kuita maverengero chaiwo uye asiri iwo ekirasi yega yega.

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Basics

Bias-Musiyano Tradeoff

Iyo bias-variance tradeoff inotsanangura kuti sei modhi inogona kukundikana nekunyanya kupusa kana kuomesesa.

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