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 …
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 …
python - How to check for NaN values - Stack Overflow
float('nan') represents NaN (not a number). But how do I check for it?
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?
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?
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, …
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 …
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.
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 …
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 …