Free Access Huawei.H13-311_V3.0.v2022-02-07.q138 Practice Test (Page 4)

Question 11

Which of the following about the description of expectations and variances is incorrect?

A.Expectation reflects the average level of random variable values

B.The variance reflects the degree of deviation between the random variable and its mathematical expectation

C.The greater the expectation the smaller the variance

D.Expectation and variance are both numerical characteristics of random variables

Question 12

A scalar k multiplied by matrix A is equal to k multiplied by each number in A.

A.False

B.True

Question 13

Which of the following descriptions of the depth feedforward network is correct?

A.Deep feedforward network 1s a kind of neural network.

B.The deep feedforward network has only one hidden layer.

C.The unit on the hidden layer of the deep feedforward network will have countless.

D.Deep feedforward network 1s used to deal with linear problems.

Question 14

In deep learning, if the neural network has a large number of layers, the problem of gradient disappearance is more likely to occur. Strictly speaking, in which of the following links does the sample disappearance problem occur?

A.Backpropagation calculation result

B.Backpropagation update parameters

C.Forward calculation results

D.Forward the dream and update

Question 15

What is not an automatic hyperparameter optimization algorithm?

A.random search

B.model-based hyperparameter optimization

C.grid search

D.stochastic gradient descent

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