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I am training an AlexNet neural network, with about 12000 images which 80% is for training, 10% is for validation and another 10% is for testing. I have a problem in my plots. There is a big fluctuation in epoch 47, how can I have a smooth plot? What is the problem?

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I tried to increase my validation data because the fluctuation was for validation loss. but nothing changed. I decreased learning rate, but it stucks in a local optimum.

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I solved my problem with data augmentation and decreasing learning rate value and more epochs.

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