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...



Linear algebra utility functions, generally performed on matrices or vectors.
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.