Underflow is a form of rounding error that occurs when a number near zero is rounded to zero.

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Computations in finitie fields

Goodfellow, I., Bengio, Y., & Courville, A. (2016). $\mathit{Deep \ Learning.}$ MIT Press. Retrieved from [www.deeplearningbook.org](https://www.deeplearningbook.org) 

Deep Learning

Overflow is a form of rounding error that occurs when a large number is rounded to ∞ or -∞.

Overflow

This function is used to predict the probabilities of values in a multinoulli distribution. This function must be stabilized against underflow and overflow.

Softmax Function

Conditioning refers to how rapidly the output of a function changes in response to small changes in its input. This sensitivity is quantified by the $$\textbf{condition number}$$, which measures the rate of change of the function as the input varies.

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