A Complete Neural Network-Based Representation of High-Dimension Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are a highly used machine learning architecture in various fields. Typical descriptions of CNNs are based on low-dimension and tensor representations in the feature extraction part. In this article, we extend the setting of CNNs to any arbitrary dimension and lin...
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| Auteur principal: | |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2025-09-01
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| Collection: | Mathematics |
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| Accès en ligne: | https://www.mdpi.com/2227-7390/13/17/2903 |
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