Dissertation Structure

Title Page
Abstract
Acknowledgments
Contents
Introduction
- Motivation
  - Lay out the importance/difficulty of classifying understanding knots in the real world.
  - Explain what knots are useful for.
- Objectives
  - Explain the aims of the project.
  - Provide a clear understanding of the project's scope.
- Research Questions
  - Explain what questions this dissertation will answer.
Background and Related Work
- Literature Review
  - Briefly explain what concepts of machine learning (CNNs, GANs etc...) will be useful to the project.
Scope
- Possibly already covered in the introduction?
Design
- In this chapter, convey what machine learning techniques will be applied in what specific way to achieve certain results.
Implementation
- In this chapter, explain how design concepts were implemented in Keras etc.
- Knot Classification
- Knot Generation
- iOS App
Evaluation
- Explain all findings. For example, we can explain effects of observed overfitting here.
Conclusion
- What was achieved in the project?
- Suggest future work to improve upon this project, and provide insight into how one would go about this.
Appendices
Bibliography

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