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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Theoretical Knowledge and Applications of Image Processing | 26% | - Typical application scenarios - Image classification, detection and segmentation - Image preprocessing technology - Feature extraction and representation |
| Topic 2: Image Processing Lab Guide | 12% | - Development environment setup - Image processing model development and deployment - Performance optimization and testing |
| Topic 3: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Text processing and representation - Machine translation, text generation and other technologies - Language model and semantic understanding - Practical application |
| Topic 4: Overview of Huawei's AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack AI technology system - All-scenario AI solutions - Huawei AI development layout |
| Topic 5: Natural Language Processing Lab Guide | 10% | - NLP model training and evaluation - End-to-end application development - Text preprocessing and feature engineering |
| Topic 6: Neural Network Basics | 4% | - Basic concepts of neural networks - Common neural network structures - Training and optimization methods |
| Topic 7: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech recognition and synthesis - Speech feature extraction - Speech signal processing foundation - Application cases |
| Topic 8: Overview of ModelArts | 4% | - ModelArts positioning and architecture - Core functions and service modules - Basic operation process |
| Topic 9: Speech Processing Lab Guide | 12% | - Speech model building and tuning - Speech data processing practice - Application deployment and verification |
Question 1
Huawei Cloud ModelArts is a one-stop AI development platform that supports multiple AI scenarios. Which of the following scenarios are supported by ModelArts?
A. Speech recognition
B. Video analytics
C. Object detection
D. Image classification
Question 2
Maximum likelihood estimation (MLE) can be used for parameter estimation in a Gaussian mixture model (GMM).
A. TRUE
B. FALSE
Question 3
When the chi-square test is used for feature selection, SelectKBest and _____ function or class must be imported from the sklearn.feature_selection module. (Enter the function interface name.) chi2 Explanation:
In feature selection for classification tasks, thechi-square (#²)statistical test can be applied to evaluate the independence between features and target labels.
In Python's scikit-learn library, this is implemented using:
Question 4
Which of the following statements about the standard normal distribution are true?
A. The mean is 1.
B. The variance is 1.
C. The mean is 0.
D. The variance is 0.
Question 5
Which of the following statements about the levels of natural language understanding are true?
A. Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
B. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
C. Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.
D. Pragmatic analysis is to study the influence of the language's external environment on the language users.
E. Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
Solutions:
| Question 1 Answer: A,B,C,D | Question 2 Answer: A | Question 3 Answer: Only visible for members | Question 4 Answer: B,C | Question 5 Answer: B,C,D |
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