Dynamic Depth Learning in Stacked AutoEncoders
The effectiveness of deep learning models depends on their architecture and topology. Thus, it is essential to determine the optimal depth of the network. In this paper, we propose a novel approach to learn the optimal depth of a stacked AutoEncoder, called Dynamic Depth for Stacked AutoEncoders (DD...
| Published in: | Applied Sciences |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-10-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/19/10994 |