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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Speech Processing Lab Guide | 12% | - Speech model building and tuning - Application deployment and verification - Speech data processing practice |
| Theoretical Knowledge and Applications of Image Processing | 26% | - Typical application scenarios - Image classification, detection and segmentation - Image preprocessing technology - Feature extraction and representation |
| Neural Network Basics | 4% | - Training and optimization methods - Common neural network structures - Basic concepts of neural networks |
| Overview of ModelArts | 4% | - ModelArts positioning and architecture - Basic operation process - Core functions and service modules |
| Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech recognition and synthesis - Speech signal processing foundation - Speech feature extraction - Application cases |
| Natural Language Processing Lab Guide | 10% | - End-to-end application development - NLP model training and evaluation - Text preprocessing and feature engineering |
| Overview of Huawei's AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development layout - Full-stack AI technology system - All-scenario AI solutions |
| Image Processing Lab Guide | 12% | - Image processing model development and deployment - Performance optimization and testing - Development environment setup |
| Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Language model and semantic understanding - Text processing and representation - Machine translation, text generation and other technologies - Practical application |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. ------- is a model that uses a convolutional neural network (CNN) to classify texts.
2. Which of the following has never been used as a method in the history of NLP?
A) Recursion-based method
B) Deep learning-based method
C) Statistics-based method
D) Rule-based method
3. In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?
A) Tanh
B) ReLU
C) Sigmoid
D) SeLU
4. The development of large models should comply with ethical principles to ensure the legal, fair, and transparent use of data.
A) FALSE
B) TRUE
5. -------- is a text representation method based on the bag of words (BoW) model. It decomposes words into subwords and then adds the vector representations of the subwords to obtain word vectors, fully utilizing character N-gram information. (Fill in the blank.)
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: Only visible for members |
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