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Most activations functions are based on exponential functions.

I don't immediately see how cordic would help you calculate e^(x) unless x is complex valued (which it is usually not).




see section B of https://eprints.soton.ac.uk/267873/1/tcas1_cordic_review.pdf. Generalized cordic can compute hyperbolic trig functions which gives you exponentials. That said, it's still not useful for ML because it's pretty hard to beat polynomials and tables.


Interesting, thanks.




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