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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Speech Processing Lab Guide | 12% | - Huawei Cloud Speech Interaction Service - ASR and TTS service development - ModelArts speech application deployment |
| Topic 2: Image Processing Theory and Applications | 26% | - OCR and visual application development - Image classification, object detection, segmentation - Image processing fundamentals - Convolutional Neural Networks (CNN) |
| Topic 3: Overview of ModelArts | 4% | - Data processing, training, deployment capabilities - Development environment and tool usage - ModelArts platform positioning and architecture |
| Topic 4: Natural Language Processing Theory and Applications | 10% | - RNN, LSTM, GRU, Transformer architecture - BERT, GPT and pre-trained models - Word representation and embedding - Text classification, NER, machine translation |
| Topic 5: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Topic 6: Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation - ModelArts NLP model training and tuning - Application integration and deployment |
| Topic 7: Speech Processing Theory and Applications | 10% | - Text-to-Speech (TTS) technology - Automatic Speech Recognition (ASR) - Speech signal characteristics and processing - Acoustic and language modeling |
| Topic 8: Neural Network Basics | 4% | - Activation functions and regularization - Gradient descent and backpropagation - Basic concepts of neural networks - Multilayer Perceptron (MLP) |
| Topic 9: Image Processing Lab Guide | 12% | - Ascend-based deployment - ModelArts-based image classification - Object detection and segmentation practice |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. When paying by face recognition, which of the following steps is correct?
A) Image preprocessing - object detection - face recognition
B) Image preprocessing - face recognition - face segmentation
C) Face recognition - image preprocessing - image detection
D) Image preprocessing - Image recognition - Face detection
2. The chain rule ensures the error transmission from deep to shallow layers.
A) False
B) True
3. How to label object detection tasks in data management?
A) Use a rectangle to frame the target
B) Use an ellipse to frame the target
C) Enter a category label for the image
D) Use a circle to frame the target
4. What layer is the Softmax function mainly used for?
A) Hidden Layer
B) Output layer
C) Input layer
5. Which of the following applications belong to supervised learning tasks in machine learning? (Multiple choice)
A) Image label classification
B) Alpha
C) Expert System
D) Handwritten Character Recognition
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A,D |
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