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Huawei H13-324_V1.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: CANN-ATC Model Conversion12%- ATC tool functions and parameters
- CANN platform overview
- Conversion from mainstream frameworks to Ascend OM model
- Troubleshooting conversion errors
Topic 2: CANN Inference Application Development15%- Multi-thread and multi-device inference
- Data preprocessing and postprocessing
- AscendCL API and development flow
Topic 3: MindSpore Full-Process Development15%- MindSpore framework architecture
- Model building, training and validation
- Model saving, exporting and deployment
Topic 4: Neural Network Fundamentals25%- Basic deep learning theory
- Model training and optimization methods
- Common neural network structures
- Model compression and quantization basics
Topic 5: Ascend AI Processor8%- Core components and computing units
- Architecture and features of Ascend AI processor
- Memory and storage system
Topic 6: CANN Inference Performance Tuning5%- Common tuning strategies
- Performance analysis tools
- Memory and computing optimization
Topic 7: Atlas AI Computing Solutions13%- Application scenarios and deployment modes
- System software and toolchain overview
- Atlas series hardware products
Topic 8: CANN Custom Operator Development7%- Operator development specification
- Operator verification and integration
- Operator implementation and compilation

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