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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Speech Processing Lab Guide | 12% | - ASR and TTS service development - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service |
| Topic 2: Neural Network Basics | 4% | - Gradient descent and backpropagation - Activation functions and regularization - Multilayer Perceptron (MLP) - Basic concepts of neural networks |
| Topic 3: Overview of ModelArts | 4% | - ModelArts platform positioning and architecture - Data processing, training, deployment capabilities - Development environment and tool usage |
| Topic 4: Image Processing Theory and Applications | 26% | - Image processing fundamentals - Convolutional Neural Networks (CNN) - Image classification, object detection, segmentation - OCR and visual application development |
| Topic 5: Image Processing Lab Guide | 12% | - ModelArts-based image classification - Object detection and segmentation practice - Ascend-based deployment |
| Topic 6: Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation - Application integration and deployment - ModelArts NLP model training and tuning |
| Topic 7: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Topic 8: 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 9: Speech Processing Theory and Applications | 10% | - Text-to-Speech (TTS) technology - Acoustic and language modeling - Speech signal characteristics and processing - Automatic Speech Recognition (ASR) |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
1. What are the preset object detection models supported by ModelArts? (Multiple choice)
A) Inception_v3
B) Faster_RCNN_RestNet_v1_50
C) Faster_RCNN_RestNet_v2_50
D) RestNet_v1_50
2. When taking a photo of a document with a mobile phone, the document in the image will be distorted due to the shooting angle. You can find the coordinates of () corresponding key points, perform () transformation on the image, and correct the document image.
A) 3, Perspective
B) 3, affine
C) 4, affine
D) 4, Perspective
3. When using GMM-HMM for single word recognition, only one GMM model in a model needs to be trained.
A) False
B) True
4. A model that mixes several linear models is called a linear mixed model.
A) False
B) True
5. ModelArts automatic learning will automatically search for the best neural network architecture, hyperparameters, and automatically perform data enhancement, without the need for user coding and parameter adjustment, and the threshold is very low.
A) False
B) True
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: B |
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