Načítá se...
On the Reduction of Computational Complexity of Deep Convolutional Neural Networks †
Deep convolutional neural networks (ConvNets), which are at the heart of many new emerging applications, achieve remarkable performance in audio and visual recognition tasks. Unfortunately, achieving accuracy often implies significant computational costs, limiting deployability. In modern ConvNets i...
Uloženo v:
| Vydáno v: | Entropy (Basel) |
|---|---|
| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2018
|
| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512823/ https://ncbi.nlm.nih.gov/pubmed/33265396 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20040305 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|