Information Bottleneck Theory Based Exploration of Cascade Learning
In solving challenging pattern recognition problems, deep neural networks have shown excellent performance by forming powerful mappings between inputs and targets, learning representations (features) and making subsequent predictions. A recent tool to help understand how representations are formed i...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2021-10-01
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| Colección: | Entropy |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/1099-4300/23/10/1360 |
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