#include <mlpack/prereqs.hpp>#include <ensmallen.hpp>#include "sparse_autoencoder_function.hpp"#include "sparse_autoencoder_impl.hpp"
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Classes | |
| class | mlpack::nn::SparseAutoencoder |
| 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. | |
Detailed Description
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.
