I'd be curious if re-framing a trained neural network model as a SVM gives you insight into it's support vectors and maybe a little understanding on why the NN

I'd be curious if re-framing a trained neural network model as a SVM gives you insight into it's support vectors and maybe a little understanding on why the NN works the way it does?