Quote:
Originally Posted by PCdimension
...both research A and B submitted the same neural network model.
It looks paradoxical that the less educated researcher B submitted a better model (less VC dimension and requires less number of sample).
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B's model cannot be better, because A and B used the same model.
If you mean B happened to choose a
simpler network than A did (e.g. less layers), then since A is more educated clearly he would know how to put weights regularization, dropout,... to avoid overfitting.
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Quote:
Originally Posted by PCdimension
Later years, countless number of researchers had tried different models but all failed to improve the learning performance.
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On which ground could we assume that countless other models failed while C's model is sub-optimal?