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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Natural Language Processing Theory and Applications | 10% | - RNN, LSTM, GRU, Transformer architecture - Text classification, NER, machine translation - BERT, GPT and pre-trained models - Word representation and embedding |
| Topic 2: Speech Processing Theory and Applications | 10% | - Speech signal characteristics and processing - Acoustic and language modeling - Automatic Speech Recognition (ASR) - Text-to-Speech (TTS) technology |
| Topic 3: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Topic 4: Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation - ModelArts NLP model training and tuning - Application integration and deployment |
| Topic 5: Neural Network Basics | 4% | - Activation functions and regularization - Multilayer Perceptron (MLP) - Gradient descent and backpropagation - Basic concepts of neural networks |
| Topic 6: Overview of ModelArts | 4% | - Development environment and tool usage - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture |
| Topic 7: Image Processing Lab Guide | 12% | - Ascend-based deployment - Object detection and segmentation practice - ModelArts-based image classification |
| Topic 8: Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service - ASR and TTS service development |
| Topic 9: Image Processing Theory and Applications | 26% | - Image processing fundamentals - Image classification, object detection, segmentation - Convolutional Neural Networks (CNN) - OCR and visual application development |
1. Which of the following applications belong to supervised learning tasks in machine learning? (Multiple choice)
A) Handwritten Character Recognition
B) Alpha
C) Image label classification
D) Expert System
2. Speech processing is a general term for technologies used to study the vocalization process, statistical characteristics of speech signals, automatic speech recognition, machine synthesis and speech perception.
A) False
B) True
3. Among the following options, which of the following is the correct statement about AK/SK? (Multiple choice)
A) When sending requests to lower-level services through the API gateway, AK and SK must be used for signing.
B) Use the access key ID and the secret access key together to encrypt and sign the request
C) AK, Access Key ID, a unique identifier associated with the Secret Access Key
D) SK, a key used in conjunction with the access key ID to cryptographically sign the request, identifies the sender, and prevents the request from being modified
4. What is the usage process of ModelArts automatic learning?
A) Deployment -> Model training -> Data labeling
B) Data annotation -> model training -> deployment
C) Model training -> data annotation -> deployment
D) Data annotation -> deployment -> model training
5. Language models can be used to solve problems such as predicting the next word based on context.
A) False
B) True
Solutions:
| Question # 1 Answer: A,C | Question # 2 Answer: B | Question # 3 Answer: B,C,D | Question # 4 Answer: B | Question # 5 Answer: B |
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