Training Error, Generalization Error and Learning Curves in Neural Learning

Abstract

A ,neural ‘nM?tUJOrk is tro.in,ed by using CL set of ~Z’lJaib nble exn.m,ples to minimize the twining error sv.ch th,nt the network pnra,meters ,fit the eznmples well. However, it is desired to min.imize the generalization error to which no direct access is possible. There are discrepa,ncies between the training error an.d the gen,eralization error due to… (More)
DOI: 10.1109/ANNES.1995.499426

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