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Huawei H13-324_V2.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: CANN - Inference Application Development Process8%- Multi-thread and batch processing design
- Inference engine and API introduction
- Application development workflow
- Data preprocessing and postprocessing
Topic 2: CANN - Custom Operator Development8%- Development, compilation and deployment of custom operators
- Operator performance analysis and tuning
- Operator development framework and specifications
Topic 3: Neural Network Basics25%- Mathematical foundation for AI development
- Basic principles of deep learning
- Model training, optimization and evaluation
- Common neural network structures and algorithms
Topic 4: CANN - ATC Model Conversion8%- ATC tool usage and parameter configuration
- Model optimization and accuracy comparison
- Conversion from mainstream frameworks to Ascend OM model
- CANN architecture and functions
Topic 5: Ascend AI Processor8%- Memory management and data flow
- Architecture and features of Ascend AI processor
- Hardware specifications and computing resources
Topic 6: MindSpore Full-Process Development20%- Automatic differentiation and parallel computing
- MindSpore framework features and installation
- Network construction, training and inference
- Model saving, loading and deployment
Topic 7: Comprehensive Experiment and Application Practice5%- Problem analysis and solution design
- End-to-end AI application development based on Ascend
- Deployment and testing of actual projects
Topic 8: Atlas AI Computing Solution13%- Software stack and development environment
- System composition and deployment modes
- Atlas hardware product series and application scenarios
Topic 9: CANN - Inference Application Performance Tuning5%- Performance indicators and analysis methods
- System configuration and resource optimization
- Data transmission and computing efficiency improvement

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