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1019 magwara eChirungu, nzira dzakarongeka dzekudzidza, uye raibhurari yakavhurika — yakavakwa neyakazvimiririra 501(c)(3) isingabatsiri kuitira kuti chero munhu anzwisise AI yemazuva ano.

1019Mazano emahara
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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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Tekinoroji

Linear Probing uye Frozen Feature Evaluation

Linear yekuongorora bvunzo kuti yakanaka sei yakafanodzidziswa modhi yemukati inomiririra nekuomesa netiweki uye kudzidzisa chete yakapusa mutsara classifier pamusoro.

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Mutauro AI

Kufungidzira Sampling Verification

Sampling yekufungidzira inomhanyisa chizvarwa chemhando yemutauro nekuita diki 'draft' modhi kufungidzira akati wandei kumberi, wozove neiyo hombe modhi inosimbisa…

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Mutauro AI

Entropy-Yakavakirwa Sampling

Entropy-yakavakirwa sampling inogadzirisa kuti LLM inotora tokeni yayo inotevera zvichibva pakuti haina chokwadi sei iyo modhi panguva iyoyo.

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Tekinoroji

DenseNet uye Dense Kubatana

DenseNet ndeye convolutional network uko yese layer inogamuchira iyo mamepu eese akatangira maseru sekuisa.

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Tekinoroji

Bottleneck Architectures

Iyo bhodhoro yekuvaka inosvina data kuburikidza neyakatetepa yepakati layer isati yawedzera zvakare, ichimanikidza network kuti idzidze compact, inoshanda…

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Tekinoroji

Gradient Accumulation

Kuunganidzwa kweGradient kunoita kuti uteedzere saizi hombe yebhechi pane yakaganhurwa GPU ndangariro nekupfupisa gradients pamusoro akati wandei madiki-mabhechi usati wagadziridza…

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Basics

Early Kumisa

Kumira kwekutanga inzira yenguva dzose inomisa kudzidziswa kwemodhi iyo nguva yekuita pane yakabatwa-kunze yekusimbisa data inomira kuita nani.

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Tekinoroji

Kumanikidza Mudzidzisi muKutevedzana Mienzaniso

Kumanikidza Mudzidzisi izano rekudzidzisa remienzaniso yekutevedzana uko chiratidzo chechokwadi chekare, kwete fungidziro yemodhi yacho pachayo, inopihwa sechipo chinotevera.

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Tekinoroji

Yakarongwa Sampling uye Exposure Bias

Exposure bias ndiyo mukaha unoonekwa kana modhi yakadzidziswa chete pazvivakamberi zvakakwana inofanira, pakufungidzira, mamiriro ezvazvinobuda zvisina kukwana.

2 VerengaVerenga
Tekinoroji

Focal Loss for Inbalanced Detection

Focal kurasikirwa ibasa rakagadziridzwa kurasikirwa iro pasi-uremu mienzaniso iri nyore saka detector inogona kutarisa kune yakaoma, isingawanzo.

2 VerengaVerenga
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.

2 VerengaVerenga

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