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Huawei H13-325_V1.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| ModelArts AI Development Platform | 4% | - Model development, training, and deployment - ModelArts architecture and functions - Data processing and management |
| Huawei AI Development Strategy and Portfolio | 2% | - Full-stack, all-scenario AI solutions - Huawei Cloud EI services overview |
| Image Processing Lab Practices | 12% | - Image processing with Python and OpenCV - CNN model development on ModelArts - End-to-end image application development |
| Integrated AI Application Development | 12% | - ModelArts-based full lifecycle development - Application integration and optimization - End-to-end AI project design |
| Speech Processing Theory and Applications | 10% | - Speech recognition and synthesis applications - Speech processing overview - Deep neural network models for speech - RNN, LSTM, and advanced speech models - Traditional speech models (GMM, HMM) |
| Neural Network Basics | 4% | - Artificial neural networks - Deep feedforward networks - Backpropagation algorithms - Deep learning fundamentals - Neural network architecture design |
| Image Processing Theory and Applications | 26% | - Feature extraction and traditional algorithms - Image preprocessing techniques - Basic image processing tasks - Computer vision overview - Image classification, detection, segmentation - Convolutional Neural Networks (CNN) - Digital image processing basics |
| Speech Processing Lab Practices | 10% | - Speech feature extraction - Speech application deployment - Speech model training and optimization |
| NLP Lab Practices | 10% | - NLP application development - Text processing and analysis - NLP model building and training |
| Natural Language Processing Theory and Applications | 10% | - Sequence models for NLP - Text classification, sentiment analysis, NER - NLP fundamentals - Word embedding and language models - Text preprocessing and feature engineering |
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