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Huawei H13-331_V1.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Neural Network Basics | 18% | - Basic concepts of neural networks - Recurrent Neural Networks (RNN) - Generative Adversarial Networks (GAN) - Convolutional Neural Networks (CNN) |
| Topic 2: Application Development | 8% | - Image processing applications - Natural language processing applications |
| Topic 3: MindSpore Introduction and API Details | 18% | - Core APIs and usage - MindSpore Lite architecture and features - MindSpore architecture and core features - Development trends and challenges of AI frameworks |
| Topic 4: Model Migration and Distributed Training | 20% | - Distributed training principles and configuration - Model migration from other frameworks - Performance optimization techniques |
| Topic 5: Inference and Deployment | 12% | - Edge and device-side deployment with MindSpore Lite - Cloud-side inference deployment - Model conversion and optimization |
| Topic 6: MindSpore Features and Applications | 24% | - Model saving and loading - Model building and training workflow - Computation graph and automatic differentiation - Data processing and loading |
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