Hi,
  I've been using neural networks mainly for regression. However, is it
  valid to consider the neural network algorithm (say for a fully
connected feed-forward 3 layer network) as form of dimensional scaling?

If the above is a valid point of view - does it make sense to compare
neural networks by calculating some form of Sammon or Kruskal stress for a
trained network?

Thanks,
Rajarshi

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