Training-free neural architecture search: A review
The goal of neural architecture search (NAS) is to either downsize the neural architecture and model of a deep neural network (DNN), adjust a neural architecture to improve its end result, or even speed up the whole training process. Such improvements make it possible to generate or install the mode...
में बचाया:
| मुख्य लेखकों: | , |
|---|---|
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Elsevier
2024-02-01
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| श्रृंखला: | ICT Express |
| विषय: | |
| ऑनलाइन पहुंच: | http://www.sciencedirect.com/science/article/pii/S2405959523001443 |
| टैग: |
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