DeskFan9

DeskFan9 t1_isl9qfe wrote

More info would help answser your question.

How big is your dataset? Small data sets could have this issue.

What accuracy are you getting?

Are the classes balanced overall, in the training set, and in the test set? Could be that network is biased towards certain classes and the test set happens to have more of those classes.

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