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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Neural Network Basics | 4% | - Basic concepts of neural networks - Common neural network structures - Training and optimization methods |
| Topic 2: Speech Processing Lab Guide | 12% | - Speech data processing practice - Application deployment and verification - Speech model building and tuning |
| Topic 3: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech feature extraction - Speech signal processing foundation - Speech recognition and synthesis - Application cases |
| Topic 4: Image Processing Lab Guide | 12% | - Performance optimization and testing - Image processing model development and deployment - Development environment setup |
| Topic 5: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Language model and semantic understanding - Text processing and representation - Practical application - Machine translation, text generation and other technologies |
| Topic 6: 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 |
| Topic 7: Theoretical Knowledge and Applications of Image Processing | 26% | - Feature extraction and representation - Typical application scenarios - Image classification, detection and segmentation - Image preprocessing technology |
| Topic 8: Overview of ModelArts | 4% | - ModelArts positioning and architecture - Core functions and service modules - Basic operation process |
| Topic 9: Natural Language Processing Lab Guide | 10% | - Text preprocessing and feature engineering - End-to-end application development - NLP model training and evaluation |
The technologies underlying ModelArts support a wide range of heterogeneous compute resources, allowing you to flexibly use the resources that fit your needs.
Correct Answer: A 🗳️
Explanation: Only visible for ExamDumpsVCE members. You can sign-up / login (it's free).
In cases where the bright and dark areas of an image are too extreme, which of the following techniques can be used to improve the image?
Correct Answer: C 🗳️
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Which of the following statements about the multi-head attention mechanism of the Transformer are true?
Correct Answer: B,D 🗳️
If a scanned document is not properly placed, and the text is tilted, it is difficult to recognize the characters in the document. Which of the following techniques can be used for correction in this case?
Correct Answer: C,D 🗳️
Explanation: Only visible for ExamDumpsVCE members. You can sign-up / login (it's free).
The natural language processing field usually uses distributed semantic representation to represent words.
Each word is no longer a completely orthogonal 0-1 vector, but a point in a multi-dimensional real number space, which is specifically represented as a real number vector.
Correct Answer: A 🗳️
Explanation: Only visible for ExamDumpsVCE members. You can sign-up / login (it's free).
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