Exam Details

  • Exam Code
    :H13-311_V3.0
  • Exam Name
    :HCIA-AI V3.0
  • Certification
    :HCIA-AI
  • Vendor
    :Huawei
  • Total Questions
    :369 Q&As
  • Last Updated
    :May 15, 2024

Huawei HCIA-AI H13-311_V3.0 Questions & Answers

  • Question 41:

    Which of the following neural network structures will share weights? (Multiple choice)

    A. Convolutional neural network

    B. Recurrent neural network

    C. Fully connected neural network

    D. All of the above

  • Question 42:

    The time interval in the Python language is a Hoating-point fraction in seconds

    A. True

    B. False

  • Question 43:

    Which of the following is not part of the deep learning development framework?

    A. CNTK

    B. Keras

    C. SAFA

    D. MXNet

  • Question 44:

    The TensorFlow framework does not support Windows systems.

    A. True

    B. False

  • Question 45:

    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 46:

    Artificial intelligence is a new technical science that studies and develops theories, methods and application systems for simulating, extending and extending human intelligence. It is one of the core research areas of machine learning.

    A. True

    B. False

  • Question 47:

    Which of the following is not a way for the TensorFlow program to read data?

    A. Preload data

    B. Feeding data

    C. Read from the file

    D. Write a file format reader

  • Question 48:

    Self-encoder is an unsupervised learning algorithm

    A. True

    B. False

  • Question 49:

    The number or matrix is stored in the tensor

    A. True

    B. False

  • Question 50:

    Which of the following descriptions about the Recurrent Neural Network (RNN) is correct?

    A. Can be used to process sequence data.

    B. Cannot process variable length sequence data.

    C. Unlike convolutional neural networks. parameters of RNN cannot be shared

    D. The units above the hidden layer are not associated With each other.

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