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| Section | Weight | Objectives |
|---|---|---|
| Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| ModelArts Platform Development Experiment | 10% | |
| Theoretical Knowledge and Applications of Natural Language Processing | 10% | - NLP core concepts - Text processing and representation - Common NLP tasks and applications |
| Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Theoretical Knowledge and Applications of Speech Processing | 10% | - Acoustic and language models - Speech recognition and synthesis - Speech processing basics |
| Overview of ModelArts | 4% | - Development and deployment workflow - ModelArts platform architecture |
| Neural Network Basics | 4% | - Network training and optimization - Deep learning fundamentals - Artificial neural network principles |
| Theoretical Knowledge and Applications of Image Processing | 26% | - Image preprocessing and feature extraction - Computer vision overview - Convolutional neural networks - Image recognition, detection and segmentation |
| Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
1. The facial features detection API detects facial features of the input image and returns the coordinates of key points representing the location of the facial features. How many landmark points are currently supported?
A) 50
B) 10
C) 20
D) 68
2. What operation does "isinstance" represent in TensorFlow2.0?
A) Determine whether it is a Tensor
B) Determine whether it is numpy
C) View device information
D) Merge tensors
3. In the Hidden Markov Model, which of the following options can be calculated using the Gaussian Mixture Model (GMM)?
A) Observation Probability
B) Language Probability
C) Initial Probability
D) Transition Probability
4. Which of the following is not the basic computing resource in the AI Core of the Yiteng AI chip?
A) Vector calculation unit
B) Tensor calculation unit
C) Scalar calculation unit
D) Matrix calculation unit
5. Which of the following models can be used for natural language processing?
A) SVM
B) Linear regression
C) HMM
D) DT
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: C |
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