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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Neural Network Basics | 4% | - Multilayer Perceptron (MLP) - Activation functions and regularization - Basic concepts of neural networks - Gradient descent and backpropagation |
| Topic 2: Natural Language Processing Theory and Applications | 10% | - Text classification, NER, machine translation - Word representation and embedding - BERT, GPT and pre-trained models - RNN, LSTM, GRU, Transformer architecture |
| Topic 3: Image Processing Theory and Applications | 26% | - OCR and visual application development - Convolutional Neural Networks (CNN) - Image classification, object detection, segmentation - Image processing fundamentals |
| Topic 4: Natural Language Processing Lab Guide | 10% | - Application integration and deployment - Text classification and NER implementation - ModelArts NLP model training and tuning |
| Topic 5: Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - ASR and TTS service development - Huawei Cloud Speech Interaction Service |
| Topic 6: Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Topic 7: Overview of ModelArts | 4% | - Development environment and tool usage - Data processing, training, deployment capabilities - ModelArts platform positioning and architecture |
| Topic 8: Image Processing Lab Guide | 12% | - ModelArts-based image classification - Object detection and segmentation practice - Ascend-based deployment |
| Topic 9: Speech Processing Theory and Applications | 10% | - Acoustic and language modeling - Text-to-Speech (TTS) technology - Speech signal characteristics and processing - Automatic Speech Recognition (ASR) |
1. Which of the following layers does a convolutional neural network usually contain? (Multiple choice)
A) Output layer
B) Fully connected layer
C) Convolutional Layer
D) Input layer
2. From which channels can image classification data for automatic learning be obtained? (Multiple choice)
A) Load from other cloud service providers' storage services
B) Import from ModelArts Marketplace
C) Upload from OBS
D) Upload from the web page
3. MindSpore supports automatic differentiation, automatic parallelism, and automatic ().
4. What are the characteristics of ModelArts preset models compared with custom model development? (Multiple choice)
A) Able to converge faster
B) Need to label data
C) No need to develop your own code
D) A large amount of data is required
5. Which step does not belong to speech recognition preprocessing?
A) Noise Reduction
B) Deduplication
C) Standardization
D) Silent Cutoff
Solutions:
| Question # 1 Answer: A,B,C,D | Question # 2 Answer: A,B,C | Question # 3 Answer: Only visible for members | Question # 4 Answer: B,C | Question # 5 Answer: B |
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