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Can someone explain why neural networks are highly parameterized?
I understand that neural networks by definition, are a parametric model.
If I am correct, Parametric methods make an assumption about the functional form, or shape, of f. For a neural network, what ...
3
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Family of flexible parametric mappings $f_\theta:(0,1) \rightarrow \mathbb{R}$?
For the purpose of reparameterizing a model (mostly with the goal of improving MCMC efficiency), I am looking for a family of flexible parametric mappings $f_\theta:(0,1) \rightarrow \mathbb{R}$ such ...