Where does an error in precision matter?
An approximation has to be judged at the output where it will be used. Compare how the two demonstrations distinguish useful accuracy from unnecessary precision.
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neural networks don't need the precision of digital computers.dither is specially constructed noise that substitutes for the noise produced by simple quantization