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  1. floating point - Why is NaN not equal to NaN? - Stack Overflow

    NaN is designed to propagate through all calculations, infecting them like a virus, so if somewhere in your deep, complex calculations you hit upon a NaN, you don't bubble out a seemingly …

  2. How do you check that a number is NaN in JavaScript?

    16 apr. 2010 · 182 I just came across this technique in the book Effective JavaScript that is pretty simple: Since NaN is the only JavaScript value that is treated as unequal to itself, you can …

  3. python - How to check for NaN values - Stack Overflow

    float('nan') represents NaN (not a number). But how do I check for it?

  4. What is the difference between NaN and NA? - Cross Validated

    I would like to know why some languages like R has both NA and NaN. What are the differences or are they equally the same? Is it really needed to have NA?

  5. What's the difference between nan, NaN and NAN - Stack Overflow

    24 jul. 2013 · In numpy there are nan, NaN and NAN. What's the sense of having all three, do they differ or any of these can be used interchangeably?

  6. python - What is inf and nan? - Stack Overflow

    13 jul. 2013 · nan stands for Not A Number, and this is not equal to 0. Although positive and negative infinity can be said to be symmetric about 0, the same can be said for any value n, …

  7. What is the difference between NaN and None? - Stack Overflow

    NaN can be used as a numerical value on mathematical operations, while None cannot (or at least shouldn't). NaN is a numeric value, as defined in IEEE 754 floating-point standard. None is an …

  8. Why in numpy `nan == nan` is False while nan in [nan] is True?

    2 dec. 2013 · nan not being equal to nan is part of the definition of nan, so that part's easy. As for nan in [nan] being True, that's because identity is tested before equality for containment in lists.

  9. What is the difference between Null, NaN and undefined in …

    14 mei 2018 · What is the difference between Null, NaN and undefined in JavaScript? I have come across all three values, and have understood them to be “there isn’t anything here” in the …

  10. Common causes of nans during training of neural networks

    Faulty Loss function Reason: Sometimes the computations of the loss in the loss layers causes nan s to appear. For example, Feeding InfogainLoss layer with non-normalized values, using …