sparse_autoencoder.hpp (3)

Src/mlpack/methods/sparse_autoencoder/sparse_autoencoder.hpp -

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  4. sparse_autoencoder.hpp: Src/mlpack/methods/sparse_autoencoder/sparse_autoencoder.hpp -
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  4. sparse_autoencoder.hpp: Src/mlpack/methods/sparse_autoencoder/sparse_autoencoder.hpp -

SYNOPSIS

Classes

class mlpack::nn::SparseAutoencoder< OptimizerType >

A sparse autoencoder is a neural network whose aim to learn compressed representations of the data, typically for dimensionality reduction, with a constraint on the activity of the neurons in the network.

Namespaces

mlpack

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

Detailed Description

Author:

Siddharth Agrawal

An implementation of sparse autoencoders.

This file is part of MLPACK 1.0.10.

MLPACK is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

MLPACK is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details (LICENSE.txt).

You should have received a copy of the GNU General Public License along with MLPACK. If not, see http://www.gnu.org/licenses/.

Definition in file sparse_autoencoder.hpp.

Author

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