Sparse Autoencoder

These codes returns a fully traned Sparse Autoencoder
774 Downloads
Updated 2 Nov 2023

View License

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
Windows macOS Linux
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

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