dropout.hpp File Reference
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class  Dropout< InputDataType, OutputDataType >
 The dropout layer is a regularizer that randomly with probability 'ratio' sets input values to zero and scales the remaining elements by factor 1 / (1 - ratio) rather than during test time so as to keep the expected sum same. More...



Artificial Neural Network.

Detailed Description

Marcus Edel

Definition of the Dropout class, which implements a regularizer that randomly sets units to zero preventing units from co-adapting.

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Definition in file dropout.hpp.