quiz bu lëkkale ak tegtal · Dëgër Niveau
Quiz buy yamale
Saytu lim yi ci lots yi, scale affine ak shift, moyenne yiy daw, ñàkka dal ci lots yu ndaw yi ak ni BatchNorm di wuutee ak LayerNorm.
Laaj 1 de 8
Luy normalisasioŋ ci lots?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- Luy normalisasioŋ ci lots?
- Duggal yi ci benn couche, ci misaal yi ci mini-batch bi fi nekk
- Etiketu génnekaay yu mujj yi ci reso bi
- Jamonoy jàng ci diir bi
- Dayo done yiñ tàggat
- Lan moo waral normalisasioŋ ci lots dafa am paramet gamma ak beta yuñ mëna jàng?
- Ngir yokk dayo done yi
- Ngir may reso bi mu yokk ba noppi soppali valeur yiñ normalise, baña yàq dooley representation bi
- Daanel ay neuron ci diiru tàggat yaram
- Ngir xayma fonction perte
- Lan mooy njariñ li ñuy gëna wax ci normalisasioŋ ci lots?
- Dafay dindi soxla benn done tàggat
- Dafay garanti ni model bi mënul ëpp
- Dafay tax njàng mu gëna rëy, gëna gaaw, gëna dëgër
- Dina dindi soxla ab fonction activation
- Ci jamonoy inference (di wax luy am ci done yu bees), ban lim la normalisasioŋ batch di jëfandikoo?
- Moyenne bi ak variance bi ci benn dugal bi fi nekk
- Saa yu nekk ay lim yuñ defar ci anam wu mucc
- Statistique yiñ def ci test bi ñu njëkka xayma
- Liggey moyenne ak variance yiñ dajale ci diiru tàggat yaram
- Lan moo waral normalisasioŋ lots mënu def lu baax ak lots yu tuuti lool?
- Statistique yu bari dañuy nekk xayma yu bari te wóorul ci distribution dëgg
- Lote yu ndaw yi dañuy tax model bi yaatu lool ba mënu ci nekk ci mémoire bi
- Dafay dindi fonction yi
- Lote yu ndaw yi deñuy forse jëfandikoo L1
- Ban pexem normalisasioŋ lañu gëna jëfandikoo ci architecture transformateur yi ngir wuutu normalisasioŋ ci lots?
- Normalisasioŋ bu bàyyi njàng
- Normalisation de couche
- L2 normalisasioŋ bu ñàkk
- Dagg degrade
- 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
- 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