Proof of the theory-to-practice gap in deep learning via sampling complexity bounds for neural network approximation spaces (Q6592113)
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scientific article; zbMATH DE number 7900824
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Proof of the theory-to-practice gap in deep learning via sampling complexity bounds for neural network approximation spaces |
scientific article; zbMATH DE number 7900824 |
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Proof of the theory-to-practice gap in deep learning via sampling complexity bounds for neural network approximation spaces (English)
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24 August 2024
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deep neural networks
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approximation spaces
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information based complexity
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Gelfand numbers
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theory-to-computational gaps
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randomized approximation
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