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What is the difference between a neural network designed as an Approximator and the one designed as a Classifier?
Wiki User
∙ 9y ago
The network used is a feed-forward network (back-propagated just mean that the back
propagation algorithmis used for training). It is a classifier: it classifies if a pixel is part
of the rotten or healthy area.
Wiki User
∙ 9y ago
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GFI
