the Algorithm returns a fully trained autoencoder based ELM, you can use it to train a deep network by changing the original feature representations,it code or decode any input simple depending on the training parameters (input and output weights ) ,for more information contact me : firstname.lastname@example.org
in this lik an example of regenerating of an image from the encoded matrix using AEs is ulistrated:
BERGHOUT Tarek (2019). Autoencoders (https://www.mathworks.com/matlabcentral/fileexchange/66080-autoencoders), MATLAB Central File Exchange. Retrieved .
new version with improvement, to make easy to undrestand from the newcomers To autoencoders
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