What is Data Augmentation? Definition | AI Understanding

Incazelo

Amasu adala izibonelo zokuqeqesha ezilungisiwe ukuze kuthuthukiswe ukwenziwa kwamamodeli.

Imigomo ehlobene

Imodeli isebenza kahle kangakanani kudatha entsha, engabonakali ngaphandle kwesethi yokuqeqeshwa.

Ukuvuza kweBenchmark

Uma izibonelo zokuhlola ibhentshimakhi noma okuhlukile kukhona kudatha yokuqeqeshwa, ukwenyusa ukusebenza okubikiwe.

Iqoqo lezibonelo ezihlelekile noma ezingahlelekile ezisetshenziselwa ukuqeqeshwa, ukuqinisekiswa, noma ukuhlola.

Amasethi wedatha amakhulu kakhulu futhi ayinkimbinkimbi adinga ukugcinwa nokucutshungulwa kwamasu okukala.

Ukufunda Okuqhubekayo

Izindlela zokuqeqesha ezivumela imodeli ukuthi iqhubeke nokufunda kudatha entsha ngaphandle kokukhohlwa ulwazi lwangaphambilini.

Ukuqhubeka nokuqeqeshwa kudatha eqondene nesizinda ukuze kulungiswe imodeli eqeqeshwe ngaphambilini emsebenzini othile.

Funda kabanzi kumhlahlandlela wethu wamahhala

AI & Data Vector Databases Synthetic Data AI Data Governance

Bhekafuthi

Cross-Entropy Loss Data Drift Convolutional Neural Network (CNN)Data Labeling Context Window Decision Boundary Computer Vision Decision Tree

Phequlula Uhla lwamagama olugcwele lwe-AI Hlola yonke imihlahlandlela ye-AI yamahhala