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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Natural Language Processing Theory and Applications | 10% | - RNN, LSTM, GRU, Transformer architecture - Text classification, NER, machine translation - Word representation and embedding - BERT, GPT and pre-trained models |
| Topic 2: Speech Processing Lab Guide | 12% | - Huawei Cloud Speech Interaction Service - ASR and TTS service development - ModelArts speech application deployment |
| Topic 3: Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation - Application integration and deployment - ModelArts NLP model training and tuning |
| Topic 4: Neural Network Basics | 4% | - Multilayer Perceptron (MLP) - Activation functions and regularization - Gradient descent and backpropagation - Basic concepts of neural networks |
| Topic 5: Speech Processing Theory and Applications | 10% | - Text-to-Speech (TTS) technology - Speech signal characteristics and processing - Automatic Speech Recognition (ASR) - Acoustic and language modeling |
| Topic 6: Image Processing Lab Guide | 12% | - Ascend-based deployment - ModelArts-based image classification - Object detection and segmentation practice |
| Topic 7: Overview of ModelArts | 4% | - Development environment and tool usage - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture |
| Topic 8: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Topic 9: Image Processing Theory and Applications | 26% | - OCR and visual application development - Image classification, object detection, segmentation - Image processing fundamentals - Convolutional Neural Networks (CNN) |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Speech processing is a general term for technologies used to study the vocalization process, statistical characteristics of speech signals, automatic speech recognition, machine synthesis and speech perception.
- A. True
- B. False
Correct Answer: A 🗳️
Which of the following is the correct solution process for maximum likelihood estimation?
1. Log-likelihood function
2. Probability density function
3. Likelihood function
4. Derivative and set the equation to 0
5. Solve equations
- A. 1-3-4-2-5
- B. 4-1-3-2-5
- C. 2-1-3-4-5
- D. 2-3-1-4-5
Correct Answer: D 🗳️
In the field of deep learning, which of the following activation functions have a value range between 0 and positive infinity?
- A. ReLU
- B. sigmoid
- C. tanh
- D. SeLU
Correct Answer: A 🗳️
What color does the RGB value (255, 0, 0) represent?
- A. Pure blue
- B. Pure black
- C. Pure red
- D. Pure green
Correct Answer: C 🗳️
The core problems of computer vision mainly include three categories: image recognition, () and image reconstruction.
Reveal Solution Discussion 0Correct Answer:
Image reconstruction
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