Trade-Offs Between Energy and Depth of Neural Networks
We present an investigation on threshold circuits and other discretized neural networks in terms of the following four computational resources-size (the number of gates), depth (the number of layers), weight (weight resolution), and energy-where the energy is a complexity measure inspired by sparse...
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| Veröffentlicht in: | Neural computation 2024-07, Vol.36 (8), p.1541-1567 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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