Sparse Autoencoder

Version 1.5.1 (45.4 KB) by BERGHOUT Tarek
These codes returns a fully traned Sparse Autoencoder
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Updated 2 Nov 2023

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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 (2024). Sparse Autoencoder (https://www.mathworks.com/matlabcentral/fileexchange/72102-sparse-autoencoder), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
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Sparse_AE_loukmane

Sparse_AE_loukmane/Lnorm

Version Published Release Notes
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