Improved Knowledge Distillationwith Dynamic Network Pruning
Deploying convolutional neural networks to mobile or embedded devices is often prohibited by limited memory and computational resources. This is particularly problematic for the most successful networks, which tend to be very large and require long inference times. Many alternative approaches have b...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Gazi University
2022-09-01
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| Serie: | Gazi Üniversitesi Fen Bilimleri Dergisi |
| Soggetti: | |
| Accesso online: | https://dergipark.org.tr/tr/pub/gujsc/issue/72673/1141648 |
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