# Deep Learning MCQ, Part_02

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Q11. Which of the following is a common use of unsupervised clustering?

(A)detect outliers
(B)determine the best set of input attributes for supervised learning
(C)evaluate the likely performance of a supervised learner model
(D)determine if meaningful relationships can be found in a dataset
(E)All of a,b,c, and d are common uses of unsupervised clustering.

Q12. The average positive difference between computed and desired outcome values.

(A)root mean squared error
(B)mean squared error
(C)mean absolute error
(D)mean positive error

Q13. Given desired class C and population P, the lift is defined as

(A)the probability of class C given population P divided by the probability of C given a sample taken from the population.
(B)the probability of population P given a sample taken from P.
(C)the probability of class C given a sample taken from population P.
(D)the probability of class C given a sample taken from population P divided by the probability of C within the entire population P.

Q14. Which of the following is (are) application(s) of deep learning?

(A)Video captioning
(C)Video summarization
(D)All of the above

Q15. Deep learning works well despite problem(s).

(A)High capacity (Susceptible to overfitting)
(C)Sharp minima
(D)All of the above

Q16. An average human brain has around neurons(approx)

(A)102
(B)1011
(C)1010
(D)None of the above

Q17. Which of the following statements is true for the Perceptron Learning Algorithm?
Statement I: Threshold needs to be hand-coded
Statement II: Threshold can be learned

(A)I & II
(B)I
(C)II
(D)None of the statements

Q18. Sigmoid is

(A)Smooth
(B)Continuous
(C)Differentiable
(D)All of these

Q19. Which kind of optimization is required in a 2-class linear SVM training procedure?

(A)Linear
(C)Cubic
(D)Depends on the dimension of the data

Q20. The number of Lagrange multipliers required for estimating SVM training parameters depends on…

(A)The dimension of the data
(B)The number of classes
(C)The total number of support vectors from training samples
(D)All of the above

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