This repository is used to generate all figures and tables in the thesis.
Note: TensorFlow version is 2.1. To update TensorFlow from an older version, you can run
pip install tensorflow --upgrade
Both the notebook and py versions for all chapters are included in this repository.
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Chapter 2
Related Files: Chapter2.py, Chapter2.ipynb
Code for simple examples to demostrate the data-consistent inversion method.
Figure 2.1 - 2.3
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Chapter 3
Check Repository
Table 3.1 - 3.8, Figure 3.1 - 3.5
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Chapter 6
Related Files: Chapter6.py, Chapter6.ipynb, gendata.py, gendata_parallel.ipynb
Code to generate results of Neural Networks
(PS: gendata.py and gendata_parallel.ipynb are both used to generate the data needed for cross-validation. They have the same function.)
(Note: gendata_parallel.ipynb generates data in parallel with 10 clusters.)
Figure 6.2 - 6.7 and Table 6.1
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Appendix B
Related Files: AppendixB.py, AppendixB.ipynb
Code to generate results in Appendix B
Table 2.2, 2.3, Figure 2.1 - 2.4 in Appendix B