1. Introduction
  • Background and motivation
  • Research objectives
  1. Literature Review
  • Overview of deep learning models
  • Applications of deep learning in character recognition
  • Previous studies on ancient character recognition
  1. Methodology
  • Data collection and preprocessing
  • Model selection and architecture design
  • Training and evaluation
  1. Results and Analysis
  • Performance evaluation of each model
  • Comparison of the two models
  • Discussion on the effectiveness and limitations of the models
  1. Conclusion and Future Work
  • Summary of the research findings
  • Contributions and implications
  • Suggestions for future research
  1. Reference

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