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Use mnist validation or test set when querying the served model #81

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mathiasburger opened this issue Apr 30, 2019 · 0 comments
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@mathiasburger
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When evaluating the model, the validation or test set should be used because classifiers may overfit and yield perfect results on the training set.

I would suggest changing
batch_xs, batch_ys = mnist.train.next_batch(1)
to
batch_xs, batch_ys = mnist.test.next_batch(1)
in the section about querying the model.

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