A fast, compact approximation of the exponential function
Neural Computation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A fast, streaming simd extensions 2, logistic squashing function
Neural Computation
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Recently Schraudolph (1999) described an ingenious, fast, and compact approximation of the exponential function through manipulation of the components of a standard (IEEE-754 (IEEE, 1985)) floating-point representation. This brief note communicates a recoding of this procedure that overcomes some of the limitations of the original macro at little or no additional computational expense.