Teela Taxawal Quiz

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Ban siñaal la taxaw bu teel di njëkka xool ngir xam kañ nga wara taxaw?
   • Performance buñ defar ngir saytu
   • Perte de formation
   • tàngooru GPU
   • Limu paarametru model
2. Lan la parametru 'muñ' di saytu?
   • Tolluwaayu jàng bi gëna mag
   • Ñaata epoch ngay xaar te doo def benn yokkute balaa ngay taxaw
   • Dayo lote bi
   • Limu fold yiy saytu
3. Ginaaw boo teela taxawal trigger yi, ban poid ngay wara tëye?
   • Poids yi ci jamonoy mujj
   • poids yiñ tàmbali ci anam wu mucc
   • Poids yi bawoo ci jamonoy validation bi gëna baax
   • Moyenne bi ci jamono yépp
4. Why can early stopping act as a form of regularization?
   • It adds a fixed L2 penalty to every weight
   • It guarantees lower test error on every dataset
   • It prevents the model from seeing training examples
   • It limits how long optimization proceeds and can reduce fitting to training-specific patterns
5. Xeetu courbe validation-erreur bi ñuy gëna xam ci diiru tàggat yaram mooy:
   • Formu U buy daanu daal di yéeg
   • Di wàññeeku ci anam wu monotonik
   • Liiñ bu dalal
   • Yokkateg anam wu monotonik
6. Lan mooy 'min_delta' buntu bi?
   • Limu diisaay yi gëna ndaw
   • Yokkateg bi gëna ndaw bi ñuy jàppee ni yokkute
   • Dayo lote bi gëna ndaw
   • Dayo done bi gëna ndaw
7. What does patience allow an early-stopping rule to do?
   • Continue training forever regardless of validation results
   • Change the model architecture after every batch
   • Wait through a set number of validation checks without qualifying improvement before stopping
   • Use the test set to select the final epoch
8. Why should the test set generally remain outside the early-stopping loop?
   • The test set cannot contain labels
   • Training libraries cannot load test data
   • Early stopping requires the test set to be empty
   • Repeatedly selecting by test performance would make it part of model selection