Sparse Autoencoder

These codes returns a fully traned Sparse Autoencoder

You are now following this Submission

Sparse_AE: the function allows to train an Auto encoder In Sparse domain by solving L1 norm optimization problem. Optimization problem: min_B ||B||_1 subject to : H*B = X.
Where H: is the Sparse version hidden layer, B: is output weights matrix and X:is the Input.

Cite As

BERGHOUT Tarek (2026). Sparse Autoencoder (https://in.mathworks.com/matlabcentral/fileexchange/72102-sparse-autoencoder), MATLAB Central File Exchange. Retrieved .

Categories

Find more on Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.5.1

Nothing changed _ _ just removed graphical abstract example (image)

1.5.0

additive features

1.4.0

description

1.3.0

links of the original work are available

1.2.0

some details

1.1.0

new referances.

1.0.0