Reconstruction of handwritten digit images using autoencoder neural networks

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Reconstruction of handwritten digit images using autoencoder neural networks

This paper compares the performances of three types of autoencoder neural networks, namely, the traditional autoencoder with Restricted Boltzmann Machine (RBM), the stacked autoencoder without RBM and the stacked autoencoder with RBM based on the efficiency for reconstruction of handwritten digit im...

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Bibliographic Details
Main Authors:	C. C., Tan, C., Eswaran
Format:	Conference or Workshop Item
Published:	2008
Subjects:	T Technology (General) QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/2853/

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