Skip to content

Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.

Notifications You must be signed in to change notification settings

ehosseiniasl/Nonnegativity-Constrained-Autoencoder-NCAE

Repository files navigation

Nonnegativity-Constrained-Autoencoder-NCAE

Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Part-based Deep Learning.

Reference:

[1] Hosseini-Asl, E.; Zurada, J.M.; Nasraoui, O., "Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints," in Neural Networks and Learning Systems, IEEE Transactions on , vol.PP, no.99, pp.1-13 doi: 10.1109/TNNLS.2015.2479223 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7310882&isnumber=6104215

[2] UFLDL Tutorial, http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial

About

Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages