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Isn't the above mindset the mindset used for debugging?


I would say not. While debugging, you are using inference techniques to bracket your bug, and using such an approach you are almost certain that you will find it. Whereas in deep learning, you are more blindly trying things (where those "things" can certainly be rigorous techniques, it is just that they are being applied more or less haphazardly), and you are never sure where you will be arriving.




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