Cargando…
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...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535168/ https://www.ncbi.nlm.nih.gov/pubmed/34682084 http://dx.doi.org/10.3390/e23101360 |