Kediska Caadiga Dufcada

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Maxay caadi ka dhigtaa dufcadda?
   • Gelitaanka lakabka, guud ahaan tusaalooyinka ku jira dufcada yar-yar ee hadda jirta
   • Calaamadaha wax soo saarka ugu dambeeya ee shabakada
   • Jadwalka heerka waxbarashada waqti ka dib
   • Baaxadda xogta tababarka
2. Waa maxay sababta caadiga ah ee dufcadda ay ugu jiraan cabbirrada la baran karo gamma iyo beta?
   • Si loo kordhiyo xajmiga xogta
   • Si loo oggolaado cabbirka shabakadda oo beddelo qiyamka caadiga ah, iyadoo la ilaalinayo awoodda matalayaasha
   • In si aan kala sooc lahayn loo tuuro neurons inta lagu jiro tababarka
   • Si loo xisaabiyo shaqada khasaaraha
3. Waa maxay faa'iidada wax ku oolka ah ee caadiga ah ee dufcadda?
   • Waxay meesha ka saaraysaa baahida loo qabo xog kasta oo tababar ah
   • Waxay dammaanad qaadaysaa in moodelku aanu dhaafi karin
   • Waxay u ogolaataa heerar waxbarasho sare iyo dhakhso badan, isku-xidhnaan badan
   • Waxay meesha ka saaraysaa baahida hawl-qabad
4. Waqtiga go'aaminta (saadaalinta xogta cusub), waa maxay statistics ee caadiga ah ee dufcadda adeegsato?
   • Celceliska iyo kala duwanaanshaha hal gelida hadda jirta oo keliya
   • Tirakoobyada si aan kala sooc lahayn loo soo saaro mar kasta
   • Tirakoobka imtixaanka la sameeyay horay ayaa loo xisaabiyay
   • Celcelis ahaan socodsiinta celceliska iyo kala duwanaanshiyaha la ururiyay inta lagu jiro tababarka
5. Waa maxay sababta caadiga ah ee dufcadu ay u dhaqmi karto si liidata iyada oo leh cabbirro yar oo aad u yar?
   • Tirakoobka Dufcadaha ayaa noqda qiyaaso buuq badan oo aan la isku halayn karin ee qaybinta runta ah
   • Dufcooyin yaryar ayaa ka dhigaya qaabka mid aad u weyn oo ku haboon xusuusta
   • Waxay curyaamisaa hawlaha firfircoonida
   • Dufcooyin yaryar ayaa ku qasbaya isticmaalka joogtada ah ee L1
6. Waa kuwee farsamada caadiga ah ee inta badan lagu isticmaalo qaab-dhismeedka transformer-ka beddelka dufcadda caadiga ah?
   • Dib u dhigista caadiga ah
   • Lakabka caadiga ah
   • L2 caadiga ah ee khasaaraha
   • Goynta si tartiib ah
7. Why does BatchNorm use running averages during inference instead of the current test batch’s statistics?
   • To retrain the model on test data
   • To make all activations exactly zero
   • So a prediction does not depend on which other examples happen to share the batch
   • To eliminate learned gamma and beta
8. Where is BatchNorm commonly placed within a layer block according to the guide?
   • Only after the final prediction
   • Before the input data are loaded
   • Inside the optimizer update
   • Between the linear transformation and its activation function