Over Fitting on Deep Learning
1 min readSep 17, 2020
Over Fitting
When is it happened?
- When the delta from your Train Accuracy and Test Accuracy is too much.
- When Test Accuracy value is larger than Train Accuracy
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Why is it Happened?
Usually overfitting occurs when you have too much Layer or too much training for your model.
How can we reduce OverFitting?
- 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.
