In machine learning ?every in-data are assumed to make sense to the target label. You update and learn the weights of the model. According to errors you get from the comparison of the target and the prediction.

From this I can guess that every decimal in a constant like pi should make sense to a network.

For me its close to saying that there are many significant decimals at least for pi.

So then should every decimal make sense to a network? Are there a constants which has an infinite number of significant decimals?

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