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On the infeasibility of training neural networks with small mean-squared error

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1 Author(s)
Vu, V.H. ; Dept. of Math., Yale Univ., New Haven, CT, USA

We demonstrate that the problem of training neural networks with small mean-squared error is computationally intractable. This answers a question posed by Jones (1997)

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Information Theory, IEEE Transactions on  (Volume:44 ,  Issue: 7 )