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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Huawei AI Ecosystem and ModelArts | 16% | - ModelArts Platform Overview
- ModelArts Lab Guide
- Huawei AI Strategy and Ecosystem Overview
|
| Topic 2: Speech Processing | 22% | - Speech Processing Lab Guide
- Speech Processing Theory and Applications
|
| Topic 3: Computer Vision (Image Processing) | 26% | - Image Processing Theory and Applications
- 1. Object detection basics
- 2. Image classification concepts
- Image Processing Lab Guide
|
| Topic 4: Natural Language Processing (NLP) | 20% | - NLP Theory and Applications
- NLP Lab Guide
|
| Topic 5: AI Fundamentals and Neural Networks | 4% | - Neural Network Basics
|
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. At the bottom of Huawei's artificial intelligence product stack is (), which can be applied to various scenarios and can be compared to Nvidia 's GPU
2. In Huawei Cloud Face Recognition Service, users can create multiple face libraries without restrictions.
A) False
B) True
3. What are the commonly used ways to connect pixels? (Multiple choice)
A) 4 Connectivity
B) 8-connectivity
C) 12 Connectivity
D) 16 connections
4. Set the reset gate of GRU to 1 and the update gate to ________, then you will get the standard RNN model.
5. In the Genism package, when the word2vec parameter sg=1, it means that the CBOW algorithm is selected.
A) False
B) True
Solutions:
Question # 1 Answer: Only visible for members | Question # 2 Answer: B | Question # 3 Answer: A,B | Question # 4 Answer: Only visible for members | Question # 5 Answer: A |