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I am working on Digit Recogniser and after training the fully connected model with 3 CNN layers and 2 dense network layers with rely and softmax  activation functions, getting below curve.Screen%20Shot%202019-01-17%20at%209.12.56%20PM.png

What i understood is model has high variance problem because after some time gap between training loss and validation loss is increasing. Is my understanding correct?

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It looks like your model becomes overtrained right around "3". That is where the evaluation curves diverge.


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