H13-321 Exam Details

  • Exam Code
    :H13-321
  • Exam Name
    :HCIP-AI-EI Developer V2.0
  • Certification
    :Huawei Certifications
  • Vendor
    :Huawei
  • Total Questions
    :176 Q&As
  • Last Updated
    :Jan 17, 2024

Huawei H13-321 Online Questions & Answers

  • Question 91:

    The core idea of convolutional neural network?

    A. Local perception
    B. 0 padding
    C. Parameter sharing
    D. Fully connected

  • Question 92:

    When taking light, the face is relatively dark. Use gamma correction to enhance the image to achieve a clear light effect. Which of the Y limit can be selected. (Single choice)

    A. 1
    C. 0.5
    D. 2

  • Question 93:

    The bright part of an image is too bright and the dark part is too dark. Which technique can be used to improve the visual effect of the image? (Single choice)

    A. Reverse
    B. Gamma correction
    C. Grayscale stretching
    D. Grayscale compression

  • Question 94:

    Convolve a pair of three-channel color images with two 3x3 convolution kernels. How many channels does the resulting feature map have? (Single choice)

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

  • Question 95:

    Model training requires a lot of data. In actual operation, you can add random noise to the training image data set through data enhancement technology to expand the sample size of the data set.

    A. TRUE
    B. FALSE

  • Question 96:

    The output of the multi-parameter sensor is a continuous signal, and the digital signal can be processed only after the continuous signal is converted into a discrete signal.

    A. TRUE
    B. FALSE

  • Question 97:

    An APP that can display plant names and breeding methods after taking photos of plants in pots. Its core is the use of image classification technology.

    A. TRUE
    B. FALSE

  • Question 98:

    In the figure below, what is the checkerboard distance between pixels P and S?

    A. 2
    B. 3
    C. 8
    D. 5

  • Question 99:

    The Gaussian model is to accurately quantify things with a Gaussian density function and decompose a thing into several models based on Bernoulli distribution.

    A. TRUE
    B. FALSE

  • Question 100:

    Which of the following options is not a method in the development of natural language processing?

    A. Methods based on deep learning
    B. Statistical-based methods
    C. Method based on recursion
    D. Rule-based approach

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