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This MATLAB program demonstrates a single forward pass of a feed-forward autoencoder. The input vector is passed through an encoder network using sigmoid activation to obtain a latent representation. The decoder then reconstructs the original input from this encoded representation. The reconstruction quality is measured using Mean Squared Error. Currently, the model performs only forward propagation. To convert it into a trainable autoencoder, backpropagation and gradient-based weight updates can be added, and these steps can be repeated over multiple epochs using a loop.
Cite As
Ashwin Kumar (2026). single forward pass for feed forward autoencoder (https://in.mathworks.com/matlabcentral/fileexchange/184084-single-forward-pass-for-feed-forward-autoencoder), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (1.32 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
