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...
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| Format: | Artikel |
| Sprache: | English |
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MDPI AG
2023-10-01
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| Schriftenreihe: | Applied Sciences |
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| Online Zugang: | https://www.mdpi.com/2076-3417/13/19/10994 |