|
mlpack
master
|

Go to the source code of this file.
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. More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
| mlpack::nn | |
An implementation of sparse autoencoders.
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 sparse_autoencoder.hpp.
1.8.11