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Huawei H13-325_V1.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Speech Processing Theory and Applications10%- Traditional speech models (GMM, HMM)
- Speech processing overview
- Deep neural network models for speech
- RNN, LSTM, and advanced speech models
- Speech recognition and synthesis applications
Topic 2: Natural Language Processing Theory and Applications10%- Word embedding and language models
- Text classification, sentiment analysis, NER
- NLP fundamentals
- Text preprocessing and feature engineering
- Sequence models for NLP
Topic 3: Integrated AI Application Development12%- End-to-end AI project design
- ModelArts-based full lifecycle development
- Application integration and optimization
Topic 4: NLP Lab Practices10%- NLP model building and training
- NLP application development
- Text processing and analysis
Topic 5: Neural Network Basics4%- Backpropagation algorithms
- Deep learning fundamentals
- Artificial neural networks
- Neural network architecture design
- Deep feedforward networks
Topic 6: ModelArts AI Development Platform4%- Data processing and management
- ModelArts architecture and functions
- Model development, training, and deployment
Topic 7: Huawei AI Development Strategy and Portfolio2%- Full-stack, all-scenario AI solutions
- Huawei Cloud EI services overview
Topic 8: Image Processing Lab Practices12%- End-to-end image application development
- CNN model development on ModelArts
- Image processing with Python and OpenCV
Topic 9: Speech Processing Lab Practices10%- Speech model training and optimization
- Speech application deployment
- Speech feature extraction
Topic 10: Image Processing Theory and Applications26%- Feature extraction and traditional algorithms
- Image preprocessing techniques
- Convolutional Neural Networks (CNN)
- Digital image processing basics
- Basic image processing tasks
- Image classification, detection, segmentation
- Computer vision overview

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