Given the function specifying a sigmoid-MLP f(x)=Wₙσ(⋯σ(W₁x+b₁)⋯)+bₙ, we can recover the weights/biases up to (unique) signed permutations of the neurons by looking at f over the complex numbers, see the quoted thread.
What happens if f is odd, i.e. f(x)=−f(−x)?
add a skeleton here at some point
4 days ago