ScholarGate
Msaidizi
Machine learningTraining techniques

Uongezaji Data

Uongezaji data ni familia ya mbinu ambazo huongeza kwa nguvu hifadhi data ya mafunzo kwa kutumia mabadiliko yanayohifadhi lebo kwa sampuli zilizopo. Awali ilisawazishwa kwa ajili ya kazi za utambuzi wa picha, sasa inatumika sana katika maeneo ya maono, maandishi, sauti, na jedwali. Ilijitokeza kama jibu la vitendo kwa uhaba sugu wa data yenye lebo katika ujifunzaji wa kina wenye kusimamiwa na bado ni hatua ya kawaida ya uandaaji awali katika mabomba ya kisasa ya mtandao wa neva.

Fungua katika MethodMindHivi karibuniVideoHivi karibuniDownload slides

Soma mbinu kamili

Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Method map

The neighbourhood of related methods — select a node to explore.

Vyanzo

  1. Shorten, C., & Khoshgoftaar, T. M. (2019). A survey on image data augmentation for deep learning. Journal of Big Data, 6, 60. DOI: 10.1186/s40537-019-0197-0

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 2). Data Augmentation. ScholarGate. https://scholargate.app/sw/deep-learning/data-augmentation

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Imerejelewa na

ScholarGateData Augmentation (Data Augmentation). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/data-augmentation · Seti ya data: https://doi.org/10.5281/zenodo.20539026