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Hence, I tried to modularize it so that it can be easily followed and understandable. Please note that I have hardly modified some code with respect to the original code. I only have modularised it for better understanding
These codes are running like the original code. I thought some other people may feel the same issues in understanding and following the code. That's why I share these codes. Please feel free to explore them and let me know if you find any issues. This will be helpful
Hello,
Thank you for providing the code. This code is really helpful.
I find the training code is too long (for a single file) and it is hard to follow :
https://github.com/ericsujw/KpSFR/blob/3d4b7968e2ab34239bf4c175f17a29efa46a691f/train_nn.py
Hence, I tried to modularize it so that it can be easily followed and understandable. Please note that I have hardly modified some code with respect to the original code. I only have modularised it for better understanding
These codes are running like the original code. I thought some other people may feel the same issues in understanding and following the code. That's why I share these codes. Please feel free to explore them and let me know if you find any issues. This will be helpful
The Python files are attached herein.
https://drive.google.com/file/d/14vYzEI9PAfN6kL4TvWcsdM9GPDlpaUes/view?usp=sharing
https://drive.google.com/file/d/1QwQF75HA3E0W5EVU_mTzVgDb2c30qYdl/view?usp=sharing
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