Download CS 7643 Quiz 3| Actual Questions and Answers Latest Updated 2025/2026 (Graded A+) Georgia and more Exams Advanced Education in PDF only on Docsity!
CS 7643 Quiz 3| Actual Questions and Answers
Latest Updated 2025/2026 (Graded A+) Georgia
Institute of Technology
1. The source of error where the neural network may not generalize (e.g., overfitting due to finite data) to the testing set is known as:
A. Estimation Error B. Optimization Error C. Modeling Error D. Testing Error Correct Answer: A. Estimation Error
2. Select the following trends of errors that occur as a neural network grows in complexity:
A. Modeling error decreases B. Optimization error decreases C. Modeling error increases D. Estimation error increases Correct Answer: A, D
3. Which of the following errors decreases as model capacity increases?
A. Estimation Error B. Modeling Error C. Testing Error D. None of the above Correct Answer: B
4. Which type of error is most directly reduced by using more training data?
A. Optimization Error B. Estimation Error C. Modeling Error D. Testing Error Correct Answer: B
5. The error due to the inability of the learning algorithm to find the global optimum is known as:
A. Estimation Error B. Optimization Error C. Modeling Error D. Training Error Correct Answer: B
6. Which error component represents underfitting due to limited model capacity?
C. Modeling Error D. Approximation Error Correct Answer: A
10. Trainingierroritypically:
A. Isialwaysilargerithanitestierror B. Decreasesiwithimodelicomplexity C. Increasesiwithimodelicomplexity D. Remainsiconstantiregardlessiofimodel CorrectiAnswer:iB
11. Whichiofitheifollowingiisitrueiaboutitestierror?
A. Itialwaysidecreasesiwithimodelicomplexity B. Itidecreasesiinitially,itheniincreasesidueitoioverfitting C. Itiequalsitrainingierroriiniallicases D. Itidependsionlyionioptimizationierror CorrectiAnswer:iB
12. Theiapproximationierroriofiaimodelicorrespondsito:
A. EstimationiError B. Erroridueitoilimitedimodeliexpressiveness C. Randomisamplingierror D. Trainingialgorithmiinefficiency CorrectiAnswer:iB
13. Whichitypeiofierroridominatesiwheniaimodeliisitooisimpleiforitheitas k?
A. EstimationiError B. ModelingiError C. OptimizationiError D. GeneralizationiError CorrectiAnswer:iB
14. Increasingimodelidepthiiniaineuralinetworkigenerallyireduces:
A. EstimationiError B. OptimizationiError C. ModelingiError D. TrainingiErrorionly CorrectiAnswer:iC
15. Whichierroriisimostiinfluencedibyistochasticityiinigradientid escent?
A. EstimationiError B. OptimizationiError C. ModelingiError D. TestingiError CorrectiAnswer:iB
16. Earlyistoppingiisiaitechniqueiprimarilyiuseditoicontroliwhichier ror?
A. EstimationiError B. OptimizationiError C. ModelingiError D. TrainingiError CorrectiAnswer:iC
20. Whenioptimizationierroridominates,iwhatiisiusuallyitheibestis olution?
A. Increaseidatasetisize B. Improveitrainingialgorithmioriinitialization C. Reduceimodeliparameters D. Collectimoreilabels CorrectiAnswer:iB
21. Whichiofitheifollowingibestiexplainsivarianceiinineuralinetworks?
A. Highivariancei=ihighiestimationierrorifromilimitedidata B. Highivariancei=iunderfittingidueitoisimpleimodel C. Highivariancei=ioptimizationinoticonverging D. Highivariancei=itestierrorialwaysismallerithanitrainierror CorrectiAnswer:iA
22. Theibiasiinibias-varianceidecompositioniisicloselyirelatedito:
A. EstimationiError B. ModelingiError C. OptimizationiError
D. SamplingiNoise CorrectiAnswer:iB
23. Cross-validationiisiprimarilyiuseditoiestimateiandireduce:
A. EstimationiError B. OptimizationiError C. ModelingiError D. ApproximationiError CorrectiAnswer:iA
24. Ifioptimizationierroriisizeroibutiestimationierroriisihigh,itheibestiap proachiisito:
A. Addiregularization B. Useimoreidata C. Useiaisimplerioptimizer D. Reduceilearningirate CorrectiAnswer:iB
25. Whichicomponentiofierroriisiaffectedimostibyimodeliinitializationia ndioptimizerichoice?
A. EstimationiError B. OptimizationiError C. ModelingiError D. TestingiError CorrectiAnswer:iB
