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| Section | Weight | Objectives |
|---|---|---|
| Neural Network Basics | 4% | - Gradient descent and backpropagation - Activation functions and regularization - Basic concepts of neural networks - Multilayer Perceptron (MLP) |
| Natural Language Processing Theory and Applications | 10% | - BERT, GPT and pre-trained models - RNN, LSTM, GRU, Transformer architecture - Word representation and embedding - Text classification, NER, machine translation |
| Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation - ModelArts NLP model training and tuning - Application integration and deployment |
| Overview of ModelArts | 4% | - ModelArts platform positioning and architecture - Development environment and tool usage - Data processing, training, deployment capabilities |
| Image Processing Theory and Applications | 26% | - Image processing fundamentals - Image classification, object detection, segmentation - Convolutional Neural Networks (CNN) - OCR and visual application development |
| Speech Processing Lab Guide | 12% | - ModelArts speech application deployment - Huawei Cloud Speech Interaction Service - ASR and TTS service development |
| Image Processing Lab Guide | 12% | - Ascend-based deployment - ModelArts-based image classification - Object detection and segmentation practice |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Huawei AI development strategy - Full-stack and all-scenario AI technology layout |
| Speech Processing Theory and Applications | 10% | - Text-to-Speech (TTS) technology - Automatic Speech Recognition (ASR) - Acoustic and language modeling - Speech signal characteristics and processing |
1. () is the network model development API provided by Huawei Cloud ModeIArts service, including the general module Framework, MXNet module, TensorFlow module, and Pytorch module
2. The state sequence of HMM cannot be obtained directly or through the observation sequence.
A) False
B) True
3. What problems of mean filtering can Gaussian filtering overcome?
A) Fuzzification
B) Slow calculation (the calculation principle is the same, so the calculation speed depends on the data size)
C) Large amount of calculation (same as C)
D) Denoising (the main function of Gaussian filtering is noise reduction)
4. In the Genism package, when the word2vec parameter sg=1, it means that the CBOW algorithm is selected.
A) False
B) True
5. GMM-HMM need label data when completing speech recognition.
A) False
B) True
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: B |
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