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Improve UX re: NaNs and hyper-parameters #4

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bm371613 opened this issue Feb 21, 2024 · 0 comments

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bm371613 commented Feb 21, 2024

The model can produce NaNs if the hyper parameters (like learning rate) is too high (potentially also if the input data contains NaNs?)

It would be nice it this was detected and a helpful message would suggest a solution.

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