Over Fitting on Deep Learning

Over Fitting

  • When the delta from your Train Accuracy and Test Accuracy is too much.
  • When Test Accuracy value is larger than Train Accuracy

Usually overfitting occurs when you have too much Layer or too much training for your model.

  • Making more simple training model, like remove some layer. Or use DropOut.
  • Make Augmentation from our current dataset. (do pivot, flip or resizing)
  • Adding more training data set.

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