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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Computer Vision (Image Processing) | 26% | - Image Processing Theory and Applications
|
| Speech Processing | 22% | - Speech Processing Lab Guide - Speech Processing Theory and Applications |
| AI Fundamentals and Neural Networks | 4% | - Neural Network Basics |
| Natural Language Processing (NLP) | 20% | - NLP Theory and Applications - NLP Lab Guide |
| Huawei AI Ecosystem and ModelArts | 16% | - Huawei AI Strategy and Ecosystem Overview - ModelArts Platform Overview - ModelArts Lab Guide |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. Which of the following statements about artificial neural networks is correct?
A) Artificial neural network is a network composed of interconnected artificial neurons
B) All of the above are correct
C) Artificial neural networks reflect several basic characteristics of human brain functions, such as parallel information processing, learning, association, pattern classification, memory, etc.
D) Artificial neural network is an abstraction and simplification of the human brain from the perspective of microstructure and function. It is an important way to simulate human intelligence.
2. Please match the following artificial intelligence algorithms and their corresponding fields
3. The (swish) function is obtained by (), so it does not need to be obtained through inferential calculation.
4. Use OpenCV to scale images. The following code uses bilinear interpolation to scale images. Please complete the code so that it can run normally: resized = cv2.resize (im, dst_size, interpolation = cv2._______)
5. What are the organs of pronunciation? (Multiple choice)
A) Below the throat
B) Throat
C) Above the throat
D) Larynx
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: Only visible for members | Question # 3 Answer: Only visible for members | Question # 4 Answer: Only visible for members | Question # 5 Answer: A,C,D |
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