function softMax() returns an array of probabilities from an array of numeric values
https://deepai.org/machine-learning-glossary-and-terms/softmax-layer
https://github.com/ujhuyz0110/notes/blob/master/softmax_gradient.pdf
https://deepai.org/machine-learning-glossary-and-terms/softmax-layer
https://github.com/ujhuyz0110/notes/blob/master/softmax_gradient.pdf
function Main()
local aValues := { 8, 5, 1 }
local aResults := softMax( aValues )
local nVal
for each nVal in aResults
? nVal
next
return nil
function softMax( aValues )
local nSum := 0, nVal, aResults := Array( Len( aValues ) )
for each nVal in aValues
nSum += exp( nVal )
next
for each nVal in aValues
aResults[ nVal:__enumIndex ] = exp( nVal ) / nSum
next
return aResults