What is dropout and why is it important?

What is dropout and why is it important?



Dropout is an effective way of regularizing neural networks to prevent overfitting of the ANN. During training, the dropout layer cripples the neural Network by removing hidden units stochastically as shown in the image. Dropout is also an efficient way of combining several neural networks.

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