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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Neural Network Basics | 4% | - Activation functions and regularization - Multilayer Perceptron (MLP) - Gradient descent and backpropagation - Basic concepts of neural networks |
| Speech Processing Theory and Applications | 10% | - Text-to-Speech (TTS) technology - Automatic Speech Recognition (ASR) - Speech signal characteristics and processing - Acoustic and language modeling |
| Speech Processing Lab Guide | 12% | - Huawei Cloud Speech Interaction Service - ASR and TTS service development - ModelArts speech application deployment |
| Natural Language Processing Lab Guide | 10% | - ModelArts NLP model training and tuning - Application integration and deployment - Text classification and NER implementation |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Image Processing Theory and Applications | 26% | - Image classification, object detection, segmentation - Convolutional Neural Networks (CNN) - OCR and visual application development - Image processing fundamentals |
| Overview of ModelArts | 4% | - Development environment and tool usage - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture |
| Natural Language Processing Theory and Applications | 10% | - BERT, GPT and pre-trained models - RNN, LSTM, GRU, Transformer architecture - Text classification, NER, machine translation - Word representation and embedding |
| Image Processing Lab Guide | 12% | - Object detection and segmentation practice - ModelArts-based image classification - Ascend-based deployment |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
In certain areas, artificial intelligence is approaching or surpassing human capabilities.
- A. True
- B. False
Correct Answer: A 🗳️
Which of the following options are correct regarding the standard RNN model? (Multiple choice)
- A. There is no many-to-many model structure
- B. There is a one-to-many model
- C. There is a one-to-one model structure
- D. Back propagation does not consider the time direction
Correct Answer: B,C 🗳️
The digital image acquisition process is similar to that of the human eye, using a large number of photosensitive sensors to form an array to acquire images.
The quality of sensor imaging is determined by which of the following? (Multiple choice)
- A. Grayscale
- B. Number of sensor units
- C. Sensor weight
- D. Sensor performance
Correct Answer: B,D 🗳️
What are the basic tasks of image recognition? (Multiple choice)
- A. Image Segmentation
- B. Image Classification
- C. Target Tracking
- D. Object Detection
Correct Answer: A,B,C,D 🗳️
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