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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: HiAI Engine Development | 15% | - Performance tuning - Custom model integration - Built-in AI engine APIs |
| Topic 2: HiAI Platform Overview | 10% | - Technical advantages and ecosystem - Architecture and positioning - Development environment setup |
| Topic 3: Deep Feedforward Networks | 5% | - Network structure and activation functions - Neural network fundamentals - Training and optimization methods |
| Topic 4: HiAI Service Development | 10% | - Pre-trained service calling - Application deployment and testing - End-cloud collaborative development |
| Topic 5: Automatic Speech Recognition Theory and Applications | 12% | - Acoustic and language models - Speech signal processing - ASR application development |
| Topic 6: Natural Language Understanding Theory and Applications | 8% | - NLU service integration - Text preprocessing - Semantic representation models |
| Topic 7: HiAI Foundation Development | 15% | - Hardware acceleration interface - Inference engine usage - Model conversion and optimization |
| Topic 8: Computer Vision Theory and Applications | 25% | - Image processing basics - CV model deployment on HiAI - Feature extraction and classification |
H13-322 is passed with 600/1000, and the official exam fee is USD 200-300. Fixing these numbers early helps you set a measurable practice target.
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HiAI Developer Documentation: Visit official page
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