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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:

Huawei HCIP-AI-EI Developer V2.0 Sample Questions:

Question 1

Which of the following descriptions of gradient disappearance and gradient explosion are correct? (Multiple choice)

A. Gradient explosion usually occurs in deep networks and when the weight initialization value is too large
B. One of the reasons for the disappearance of gradients is the use of inappropriate activation functions in deep networks, such as sigmoid
C. The gradient disappearance problem can be effectively solved by simple gradient clipping
D. The gradient explosion problem can be effectively solved by simple gradient clipping

Question 2

Image segmentation is to segment the part of the image that contains people.

A. False
B. True

Question 3

The purpose of speech signal preprocessing () is to emphasize the high-frequency part of speech, remove the influence of lip radiation, and increase the high-frequency resolution of speech (please fill in Chinese)

Question 4

Use two 3x3 convolution kernels to convolve a three-channel color image. How many channels does the resulting feature map have?

A. 4
B. 3
C. 1
D. 2

Question 5

The facial features detection API detects facial features of the input image and returns the coordinates of key points representing the location of the facial features. How many landmark points are currently supported?

A. 20
B. 50
C. 10
D. 68

Solutions: