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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2853/ |