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Huawei H13-325_V1.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Neural Network Basics | 4% | - Deep feedforward networks - Backpropagation algorithms - Artificial neural networks - Deep learning fundamentals - Neural network architecture design |
| Topic 2: Speech Processing Lab Practices | 10% | - Speech model training and optimization - Speech application deployment - Speech feature extraction |
| Topic 3: Image Processing Lab Practices | 12% | - Image processing with Python and OpenCV - CNN model development on ModelArts - End-to-end image application development |
| Topic 4: Huawei AI Development Strategy and Portfolio | 2% | - Full-stack, all-scenario AI solutions - Huawei Cloud EI services overview |
| Topic 5: Natural Language Processing Theory and Applications | 10% | - Text classification, sentiment analysis, NER - NLP fundamentals - Sequence models for NLP - Text preprocessing and feature engineering - Word embedding and language models |
| Topic 6: Integrated AI Application Development | 12% | - ModelArts-based full lifecycle development - End-to-end AI project design - Application integration and optimization |
| Topic 7: NLP Lab Practices | 10% | - Text processing and analysis - NLP application development - NLP model building and training |
| Topic 8: Speech Processing Theory and Applications | 10% | - Speech recognition and synthesis applications - Traditional speech models (GMM, HMM) - Deep neural network models for speech - RNN, LSTM, and advanced speech models - Speech processing overview |
| Topic 9: ModelArts AI Development Platform | 4% | - ModelArts architecture and functions - Model development, training, and deployment - Data processing and management |
| Topic 10: Image Processing Theory and Applications | 26% | - Convolutional Neural Networks (CNN) - Image preprocessing techniques - Image classification, detection, segmentation - Computer vision overview - Digital image processing basics - Feature extraction and traditional algorithms - Basic image processing tasks |
