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| Section | Weight | Objectives |
|---|---|---|
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Natural Language Processing Lab Guide | 10% | - ModelArts NLP model training and tuning - Application integration and deployment - Text classification and NER implementation |
| Overview of ModelArts | 4% | - Data processing, training, deployment capabilities - Development environment and tool usage - ModelArts platform positioning and architecture |
| Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service - ASR and TTS service development |
| Natural Language Processing Theory and Applications | 10% | - RNN, LSTM, GRU, Transformer architecture - BERT, GPT and pre-trained models - Word representation and embedding - Text classification, NER, machine translation |
| Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Speech signal characteristics and processing - Text-to-Speech (TTS) technology - Acoustic and language modeling |
| Image Processing Theory and Applications | 26% | - OCR and visual application development - Convolutional Neural Networks (CNN) - Image classification, object detection, segmentation - Image processing fundamentals |
| Image Processing Lab Guide | 12% | - ModelArts-based image classification - Object detection and segmentation practice - Ascend-based deployment |
| Neural Network Basics | 4% | - Basic concepts of neural networks - Multilayer Perceptron (MLP) - Activation functions and regularization - Gradient descent and backpropagation |
1. After using DNN, do not perform data preprocessing.
A) False
B) True
2. In certain areas, artificial intelligence is approaching or surpassing human capabilities.
A) False
B) True
3. The purpose of speech signal preprocessing () is to emphasize the high-frequency part of speech, remove the influence of lip radiation, and increase the high-frequency resolution of speech (please fill in Chinese)
4. Based on Ascend 310, Huawei has created four products for cloud and edge devices, using different forms to meet customers' performance requirements for inference, namely: Atlas 200 on the device side, Atlas 500 on the edge side, and Atlas 800 and 300 on the data center side.
A) False
B) True
5. The expressive power of a single perceptron is limited. It can only express linear decision surfaces (hyperplanes). If we interconnect many perceptrons, just like the human brain, we can express a wide variety of nonlinear surfaces.
A) False
B) True
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: Only visible for members | Question # 4 Answer: B | Question # 5 Answer: B |
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