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Collective dynamics of repeated inference in variational autoencoder rapidly find cluster structure
Deep neural networks are good at extracting low-dimensional subspaces (latent spaces) that represent the essential features inside a high-dimensional dataset. Deep generative models represented by variational autoencoders (VAEs) can generate and infer high-quality datasets, such as images. In partic...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524732/ https://www.ncbi.nlm.nih.gov/pubmed/32994479 http://dx.doi.org/10.1038/s41598-020-72593-4 |