sparse_autoencoder.hpp File Reference
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Classes

class  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.
 
 mlpack::nn
 

Detailed Description

Author
Siddharth Agrawal

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.