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Huawei H35-323 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Deep Learning and Neural Networks | - Training and optimization methods - CNN and RNN fundamentals - Overfitting and regularization |
| AI Development Frameworks and Tools | - MindSpore framework basics - ModelArts platform usage - Data preprocessing and pipelines |
| Deployment and MLOps Concepts | - Continuous training and monitoring - Edge and cloud deployment scenarios - Model deployment lifecycle |
| AI Network and Intelligent Applications | - AI in network optimization scenarios - Intelligent fault detection - Traffic prediction and anomaly detection |
| AI Fundamentals and Machine Learning Basics | - Basic neural network concepts - Supervised and unsupervised learning - Model evaluation and metrics |
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