Sparse Autoencoder

version 1.5.0 (168 KB) by BERGHOUT Tarek
These codes returns a fully traned Sparse Autoencoder


Updated Thu, 26 Nov 2020 09:06:02 +0000

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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 (2022). Sparse Autoencoder (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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