What is Overfitting? Definition | AI Understanding

Nkọwa

Mgbe ihe nlereanya na-eburu data ọzụzụ n'isi ma na-arụ ọrụ nke ọma na ntinye a na-adịghị ahụ anya.

Okwu ndị metụtara

Kedu ka ihe nlereanya si arụ ọrụ na data ọhụrụ, nke a na-adịghị ahụ anya na mpụga ọzụzụ ọzụzụ.

Nhapu Benchmark

Mgbe ihe atụ ule benchmark ma ọ bụ nso nso dị na data ọzụzụ, na-ebuli arụmọrụ akọrọ.

Ọmụmụ na-aga n'ihu

Ụzọ ọzụzụ na-eme ka ihe nlereanya nọgide na-amụta site na data ọhụrụ na-echefughị ihe ọmụma mbụ.

Mgbakwunye data

Usoro na-emepụta ihe atụ ọzụzụ gbanwetụrụ iji melite mkpokọta ụdị.

Imezicha nke ọma

Ịga n'ihu na ọzụzụ na ngalaba-kpọmkwem data iji gbanwee ihe nlereanya a zụrụ azụ na otu ọrụ.

Mbelata ihe ọmụma

Isi ihe kachasị ọhụrụ n'oge gosipụtara na data ọzụzụ ihe nlereanya.

Mụtakwuo na ntuziaka efu anyị

Overfitting and Underfitting

Hụkwa

Open-Source Model Parameter OCR (Optical Character Recognition)Parameter-Efficient Fine-Tuning (PEFT)Normalization Perplexity Neural Network Pipeline

Chọgharịa akwụkwọ nkọwa AI zuru ezu Nyochaa ntuziaka AI niile efu