On pde characterization of smooth hierarchical functions computed by neural networks
Neural networks are versatile tools for computation, having the ability to approximate a broad range of functions. An important problem in the theory of deep neural networks is expressivity; that is, we want to understand the functions that are computable by a given network. We study real, infinitel...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MIT Press Journals
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |