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  • Outline of Deep Learning
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Huawei H13-311 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Development Framework20%- AI Development Technologies
  • 1. MindSpore Framework
  • 2. Model Development Workflow
  • 3. Python for AI
  • 4. AI Model Deployment
Topic 2: Deep Learning Overview25%- Deep Learning Fundamentals
  • 1. Transformer Models
  • 2. Neural Networks
  • 3. Convolutional Neural Networks
  • 4. Recurrent Neural Networks
Topic 3: Introduction to Huawei AI Platforms14%- Huawei AI Ecosystem
  • 1. Ascend AI Processors
  • 2. Atlas Products
  • 3. Huawei Cloud AI Services
  • 4. ModelArts
  • 5. CANN
Topic 4: Machine Learning Overview20%- Machine Learning Fundamentals
  • 1. Supervised Learning
  • 2. Model Training and Evaluation
  • 3. Common Machine Learning Algorithms
  • 4. Unsupervised Learning
Topic 5: Cutting-edge AI Applications6%- Emerging AI Technologies
  • 1. Generative AI
  • 2. AI Ethics and Governance
  • 3. Large Language Models
Topic 6: AI Overview15%- Artificial Intelligence Fundamentals
  • 1. AI Industry Trends
  • 2. AI Application Scenarios
  • 3. AI Concepts and Development History

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