EXAM DUMPS HUAWEI H13-311_V3.5 PDF - H13-311_V3.5 VALID EXAM MATERIALS

Exam Dumps Huawei H13-311_V3.5 Pdf - H13-311_V3.5 Valid Exam Materials

Exam Dumps Huawei H13-311_V3.5 Pdf - H13-311_V3.5 Valid Exam Materials

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Huawei H13-311_V3.5 (HCIA-AI V3.5) certification exam is an advanced-level certification exam that validates the skills and knowledge of candidates in the field of artificial intelligence. H13-311_V3.5 exam is designed to test the candidate's understanding of AI concepts, algorithms, and applications, as well as their ability to design and implement AI solutions using Huawei's AI technologies.

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To pass the Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam, individuals must have a strong understanding of AI concepts and technologies. They must also possess the skills to design and develop AI applications and solutions. H13-311_V3.5 exam is designed to test an individual's ability to apply AI concepts to real-world scenarios and solve complex problems using AI technologies.

Huawei H13-311_V3.5 (HCIA-AI V3.5) Certification Exam is a globally recognized certification exam that tests an individual's skills and knowledge in the field of artificial intelligence. HCIA-AI V3.5 certification is designed for professionals who have a strong foundation in AI and wish to enhance their skills and expertise to stay ahead of the competition. H13-311_V3.5 Exam covers a wide range of topics related to AI, including machine learning, deep learning, natural language processing, and computer vision.

Huawei HCIA-AI V3.5 Sample Questions (Q366-Q371):

NEW QUESTION # 366
Which of the following functions are provided by the nn module of MindSpore?

  • A. Loss functions such as MSELoss and SoftmaxCrossEntropyWithLogits
  • B. Hyperparameter search modes such as GridSearch and RandomSearch
  • C. Model evaluation indicators such as F1 Score and AUC
  • D. Optimizers such as Momentum and Adam

Answer: A,D

Explanation:
The nn module in MindSpore provides essential tools for building neural networks, including:
C . Optimizers: such as Momentum and Adam, which are used to adjust the weights of the model during training.
D . Loss functions: such as MSELoss (Mean Squared Error Loss) and SoftmaxCrossEntropyWithLogits, which are used to compute the difference between predicted and actual values.
The other options are incorrect because:
A . Hyperparameter search modes (like GridSearch and RandomSearch) are typically found in model training and tuning modules, but not in the nn module.
B . Model evaluation indicators like F1 Score and AUC are also handled by specific evaluation functions or libraries outside the nn module.
HCIA AI
Reference:
AI Development Framework: Detailed coverage of MindSpore's nn module, its optimizers, and loss functions.
Introduction to Huawei AI Platforms: Explains various MindSpore features, including network construction and training.


NEW QUESTION # 367
The image data of the copyright recognition service is not needed base64 Coded.

  • A. FALSE
  • B. TRUE

Answer: A


NEW QUESTION # 368
The pooling layer in the convolutional neural network can reduce the size of the lower layer input.
Common pooling is:

  • A. Minimum strata
  • B. Product pooling layer
  • C. Maximum pooling layer
  • D. Average pooling layer

Answer: C,D


NEW QUESTION # 369
What is the most important difference between batch gradient descent, mini-batch gradient descent, and stochastic gradient descent?

  • A. Number of samples used
  • B. Learning rate
  • C. Gradient direction
  • D. Gradient size

Answer: A


NEW QUESTION # 370
The current technology application directions of artificial intelligence mainly include?

  • A. Computer vision
  • B. Control System
  • C. Natural language processing
  • D. Speech Recognition

Answer: A,C,D


NEW QUESTION # 371
......

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