How did you prevent overfitting when using Deep Learning models?

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Anónimo · Accepted Answer

Early stopping, dropout, etc..

Anónimo · Answer

Using Dropout layer while training, early stopping and saving the best model, reducing the hidden layers/neurons via cross validation or plotting bias and variance for every model configuration or iterations,  applying regularization techniques, etc

Nivedita · Answer

Using Dropout layer while training, early stopping and saving the best model, reducing the hidden layers/neurons via cross validation or plotting bias and variance for every model configuration or iterations, applying regularization techniques, etc

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