base_layer.hpp File Reference

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Classes
class	mlpack::ann::BaseLayer< ActivationFunction, InputDataType, OutputDataType >
	Implementation of the base layer. More...

Namespaces
	mlpack
	Linear algebra utility functions, generally performed on matrices or vectors.
	mlpack::ann
	Artificial Neural Network.

Typedefs
template<class ActivationFunction = IdentityFunction, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>
using	mlpack::ann::IdentityLayer = BaseLayer< ActivationFunction, InputDataType, OutputDataType >
	Standard Identity-Layer using the identity activation function. More...
template<class ActivationFunction = RectifierFunction, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>
using	mlpack::ann::ReLULayer = BaseLayer< ActivationFunction, InputDataType, OutputDataType >
	Standard rectified linear unit non-linearity layer. More...
template<class ActivationFunction = LogisticFunction, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>
using	mlpack::ann::SigmoidLayer = BaseLayer< ActivationFunction, InputDataType, OutputDataType >
	Standard Sigmoid-Layer using the logistic activation function. More...
template<class ActivationFunction = TanhFunction, typename InputDataType = arma::mat, typename OutputDataType = arma::mat>
using	mlpack::ann::TanHLayer = BaseLayer< ActivationFunction, InputDataType, OutputDataType >
	Standard hyperbolic tangent layer. More...

Detailed Description

Author

Marcus Edel

Definition of the BaseLayer class, which attaches various functions to the embedding layer.

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 base_layer.hpp.