Quiz ci njëgu jàng ci sikl

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

1. Ban xalaat bu am solo la tolluwaayu njàngum siklik di werante?
   • Ni tolluwaayu jàng bi warul wàññeeku ludul ci diiru tàggat yaram
   • Dayo lote bi dafa wara soppeeku
   • Ni model yi soxla GPU
   • Done yooyu dañu leen wara jaxase
2. What did Smith report for cyclical learning rates on tested classification tasks?
   • They always lowered training loss to zero
   • They improved accuracy versus fixed rates, often in fewer iterations
   • They removed the need for validation data
   • They guaranteed escape from every sharp minimum
3. Luy 'test range LR'?
   • Dafay natt jëfandikoo mémoire GPU
   • Dafay lim limu paramet model yi
   • Dafay bale tolluwaayu jàng bi ci kaw di seetaan ñàkk ngir tànn ay yam yu baax
   • Dafay saytu xeetu done yi nekkul ci séddale
4. Ci politiku benn sikl, naka la momentum di doxalee ci wàllu njàng?
   • Momentum mingi wéy di nekk
   • Momentum defay nekk zero saa yu nekk
   • Momentum dafay yokk ndànk ak tolluwaayu
   • Momentum dafay toxu ci anam wu wuute - yéeg su tolluwaayu wàcci, wàcci sudee tolluwaayu yéeg
5. During a triangular cyclical learning-rate cycle, how does the rate move between its bounds?
   • It rises from the base rate to the maximum, then falls back toward the base
   • It only decreases from the first step
   • It stays fixed at the maximum
   • It jumps randomly at every minibatch
6. Kan moo dugal taxawaayu njàngum siklik ak test rang LR?
   • Jeofrey Hinton
   • Lesli Smith
   • Yann Lekun
   • Andréj Karpati
7. What sets the duration of a cyclical learning-rate cycle?
   • The number of model layers
   • Dayo vokabileer bi
   • A chosen number of training iterations for the up-and-down pattern
   • The number of optimizer parameters
8. What distinguishes the one-cycle policy from repeating several triangular cycles?
   • It keeps the learning rate constant throughout
   • It removes the optimizer’s momentum
   • It measures the learning rate only once
   • It uses one long learning-rate cycle for the training run