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Regularization in Deep Learning | How it solves Overfitting ?
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set and struggle to make good predictions on test dataset. Overfitting in Deep Learning can be the result of having a very deep neural network or high ...
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