Deep vs. shallow networks: An approximation theory perspective
© 2016 World Scientific Publishing Company. The paper briefly reviews several recent results on hierarchical architectures for learning from examples, that may formally explain the conditions under which Deep Convolutional Neural Networks perform much better in function approximation problems than s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
World Scientific Pub Co Pte Lt,
2021-10-27T20:06:08Z.
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| Subjects: | |
| Online Access: | Get fulltext |