Kediska Heerarka Barashada Wareegga

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay malo-awaalka muhiimka ah ee heerarka waxbarashada meertadu ay caqabad ku yihiin?
   • In heerka waxbarashadu uu yaraado oo kaliya inta lagu jiro tababarka
   • Cabbirka dufcadaasi waa inuu ahaado mid joogto ah
   • Moodooyinkaas waxay u baahan yihiin GPU-yo
   • Xogtaas waa in la isku shaandheeya
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. Muxuu sameeyaa 'tijaabada kala duwan ee LR'?
   • Wuxuu cabbiraa isticmaalka xusuusta GPU
   • Tiriyaa tirada cabbiraadaha moodeelka
   • Wuxuu kor u qaadaa heerka waxbarashada isagoo eegaya khasaaraha si uu u qaato xuduudo wanaagsan
   • Wuxuu tijaabiyaa qaabka xogta qaybinta kabaxsan
4. Siyaasadda hal wareeg, sidee buu dardargelinta caadi ahaan u dhaqmaa marka loo eego heerka waxbarashada?
   • Dhaqdhaqaaqu wuu go'an yahay oo dhan
   • Dhaqdhaqaaqa waxa loo dejiyay eber wakhtiga oo dhan
   • Dhaqdhaqaaqu wuxuu si sax ah u kordhaa heerka
   • Dhaqdhaqaaqa si rogan ayuu u socdaa - sare marka qiimuhu hooseeyo oo hooseeyo marka qiimuhu sarreeyo
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. Yaa keenay heerarka waxbarashada meerto iyo imtixaanka kala duwan ee LR?
   • Geoffrey Hinton
   • Leslie Smith
   • Yann LeCun
   • Andrej Karpathy
7. What sets the duration of a cyclical learning-rate cycle?
   • The number of model layers
   • Cabbirka ereyada
   • 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