Representing Deep Neural Networks Latent Space Geometries with Graphs
Deep Learning (DL) has attracted a lot of attention for its ability to reach state-of-the-art performance in many machine learning tasks. The core principle of DL methods consists of training composite architectures in an end-to-end fashion, where inputs are associated with outputs trained to optimi...
| Váldodahkkit: | , , |
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| Materiálatiipa: | Artihkal |
| Giella: | English |
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MDPI AG
2021-01-01
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| Ráidu: | Algorithms |
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| Liŋkkat: | https://www.mdpi.com/1999-4893/14/2/39 |