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Huawei H13-322 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HiAI Foundation Development | 15% | - Inference engine usage - Model conversion and optimization - Hardware acceleration interface |
| Topic 2: Automatic Speech Recognition Theory and Applications | 12% | - Speech signal processing - Acoustic and language models - ASR application development |
| Topic 3: HiAI Service Development | 10% | - Application deployment and testing - End-cloud collaborative development - Pre-trained service calling |
| Topic 4: Natural Language Understanding Theory and Applications | 8% | - Text preprocessing - NLU service integration - Semantic representation models |
| Topic 5: Computer Vision Theory and Applications | 25% | - Image processing basics - Feature extraction and classification - CV model deployment on HiAI |
| Topic 6: HiAI Engine Development | 15% | - Custom model integration - Performance tuning - Built-in AI engine APIs |
| Topic 7: HiAI Platform Overview | 10% | - Technical advantages and ecosystem - Development environment setup - Architecture and positioning |
| Topic 8: Deep Feedforward Networks | 5% | - Neural network fundamentals - Network structure and activation functions - Training and optimization methods |
