Can we predict from the hidden layer of the neural network?

版本 1.0.0 (9.8 KB) 作者: BERGHOUT Tarek
A new original autoencoder that allows hiding labels inside the hidden layer for later prediction has been developed
78.0 次下载
更新时间 2021/4/14

查看许可证

“Predicting from the Hidden Layer of a Neural Network!!!???” It's weird, isn't it? Actually this is a very interesting idea; we have developed a new original autoencoder that allows hiding labels inside the hidden layer to predict from it later, rather than the output layer in a completely unsupervised approximation. The idea applies to both numerical and categorical outputs (regression and classification). The question is ……. Why fro the hidden layer?
Check out our recently published work and find out the answer.
Link1: https://www.researchgate.net/publication/350793411_Leveraging_Label_Information_in_a_Knowledge-Driven_Approach_for_Rolling-Element_Bearings_Remaining_Useful_Life_Prediction
Link2:
https://www.mdpi.com/1996-1073/14/8/2163

Note: This version is only the basic version of the one designed in the paper.

引用格式

BERGHOUT Tarek (2024). Can we predict from the hidden layer of the neural network? (https://www.mathworks.com/matlabcentral/fileexchange/90466-can-we-predict-from-the-hidden-layer-of-the-neural-network), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2018b
兼容任何版本
平台兼容性
Windows macOS Linux

Community Treasure Hunt

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

Start Hunting!

Basic_version_of_the_proposed autoencouder

版本 已发布 发行说明
1.0.0