I’m trying to write the sigmoid function as below, but did not work: function sigmoid(z::Array) return 1.0 ./ (1.0 + exp(-z)) end; Knowing that the below is working fine, but I’m looking for a short way to write it: function sigmoid(z::Array) sig = [] for (index, value) in enumerate(z…

Instead of defining sigmoid(z::Array) define sigmoid(z::Real) and then use broadcasting to apply it to the elements of an array: sigmoid.(z) (note the dot, which indicates broadcasting) This is also the problem you’re facing in your OP. If you were to define sigmoid(z::Array), which (again) you sho…

It is already implemented as StatsFuns.logistic. Don’t define elementwise functions for arrays: use broadcasting.

You could do worse than to copy this one: https://github.com/FluxML/NNlib.jl/blob/master/src/activation.jl#L10 Edit: and apply it to an array by writing σ.(z).

Thanks alot I wrote it now as: sigmoid(x::Real, derive::Bool=false) = (derive==true) ? x*(one(x)-x) : one(x)/(one(x) + exp(-x))

Sigmoid function in Julia

New to Julia

hasanOryx October 7, 2019, 2:24pm 4

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Sigmoid function in Julia

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