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Denoising Autoencoder

Version 1.8.0 (749 KB) by BERGHOUT Tarek
In this code a full version of denoising autoencoder is presented.
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Updated Sun, 06 Sep 2020 14:03:44 +0000

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for better understanding you should read this paper which describes an example of the contribution of this work :

https://www.researchgate.net/publication/344073280_Aircraft_Engines_Remaining_Useful_Life_Prediction_with_an_Adaptive_Denoising_Online_Sequential_Extreme_Learning_Machine

Cite As

BERGHOUT Tarek (2023). Denoising Autoencoder (https://www.mathworks.com/matlabcentral/fileexchange/71115-denoising-autoencoder), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Autoencoders (Ordinary type)

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denoising_AEs_frames

denoising_AEs_frames

Version Published Release Notes
1.8.0

published work link
1.7.0

description
1.5.0

After completing the training process,we will no longer in need To use old Input Weights for mapping the inputs to the hidden layer, and instead of that we will use the Outputweights beta for both coding and decoding phases and.
1.4.0

some coments are added

1.3.0

a new version that trains an autoencoders by adding random samples of noise in each frame (block of data) .
1.2.0

new version
1.1.0

a new illustration image is description notes Note were added
1.0.0