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Huawei H13-321_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: ModelArts Platform Development Experiment | 10% | |
| Topic 2: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech processing basics - Acoustic and language models - Speech recognition and synthesis |
| Topic 3: Overview of ModelArts | 4% | - ModelArts platform architecture - Development and deployment workflow |
| Topic 4: Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Topic 5: Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| Topic 6: Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Topic 7: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - Common NLP tasks and applications - Text processing and representation - NLP core concepts |
| Topic 8: Theoretical Knowledge and Applications of Image Processing | 26% | - Image recognition, detection and segmentation - Image preprocessing and feature extraction - Computer vision overview - Convolutional neural networks |
| Topic 9: Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Topic 10: Neural Network Basics | 4% | - Artificial neural network principles - Network training and optimization - Deep learning fundamentals |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
In the NNLM model, what is the activation function used in the network output layer?
A. Sigmoid
B. Tanh
C. Softmax
D. ReLU
Question 2
Image filter operation is also called template operation. Commonly used template operations include template () and template ()
Question 3
Classification and regression are the two main types of machine learning model prediction problems. The output of classification is a discrete category value, while the output of regression is a continuous value.
A. False
B. True
Question 4
When doing speech recognition tasks, use the Seq2Seq model. The input is a () sequence and the output is a letter sequence.
Question 5
The structure of the perceptron simulates which of the following biological structures?
A. Brain
B. Neurons
C. Ears
D. Eyes
Solutions:
| Question 1 Answer: C | Question 2 Answer: Only visible for members | Question 3 Answer: B | Question 4 Answer: Only visible for members | Question 5 Answer: B |
