Questions tagged [dropout]

Dropout is a technique to reduce overfitting during the training phase of a neural network. DO NOT use this tag for dropout as in censoring or missing data in survival analysis or longitudinal data analysis.

Dropout is a technique to reduce overfitting during the training phase of a neural network.

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Dropout makes performance worse

I am playing with dropout since all state of the art results in machine learning seem to be using it (for example, see here). I am familiar with all the guidelines (train longer, increase capacity of the model, use higher learning rates), but still…

dropout

asked Aug 23 '17 at 00:00

Yuri