dropout.hpp File Reference

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## Classes | |

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... | |

## Namespaces | |

mlpack | |

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

mlpack::ann | |

Artificial Neural Network. | |

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

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.

Definition in file dropout.hpp.