A Hierarchy of Hilbert Spaces for Computing with Granular Semantics by Deep Learning Enhanced
<p id="p1">The all-popular Artificial Intelligence (AI) is pursued by deep learning (neural computing) models implemented in Data Centers (DCs) that require considerable resources. The aforementioned models are typically developed in the Euclidean (Hilbert) space R<sup>N</sup>, where R is the set of...
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| Main Authors: | , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2025
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| Subjects: | |
| Online Access: | https://www.intechopen.com/chapters/1228904 |
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