JavaShuo
欄目
標籤
論文閱讀——EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
時間 2020-12-31
標籤
神經網絡
計算機視覺
機器學習
卷積
欄目
快樂工作
简体版
原文
原文鏈接
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Abstract 卷積神經網絡常受限於計算資源,如果資源足夠的情況下可通過縮放網絡進一步提升網絡性能。本文則系統性的研究瞭如何平衡網絡深度、寬度、分辨率綜合性對網絡進行縮放,提升網路哦性能。 基於前期試驗結果提出了複合縮放策略(Compound sca
>>阅读原文<<
相關文章
1.
論文閱讀:EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
2.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks(2019)
3.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
4.
[ICML19]EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
5.
#Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
6.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks-文獻閱讀筆記
7.
[論文解讀]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
8.
【論文解讀】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
9.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)論文筆記
10.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 論文筆記
更多相關文章...
•
RSS 閱讀器
-
RSS 教程
•
PHP 實例 - AJAX RSS 閱讀器
-
PHP教程
•
JDK13 GA發佈:5大特性解讀
•
Scala 中文亂碼解決
相關標籤/搜索
論文閱讀
CV論文閱讀
networks
efficientnet
scaling
rethinking
convolutional
外文閱讀
neural
論文解讀
快樂工作
Thymeleaf 教程
PHP教程
Redis教程
文件系統
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
升級Gradle後報錯Gradle‘s dependency cache may be corrupt (this sometimes occurs
2.
Smarter, Not Harder
3.
mac-2019-react-native 本地環境搭建(xcode-11.1和android studio3.5.2中Genymotion2.12.1 和VirtualBox-5.2.34 )
4.
查看文件中關鍵字前後幾行的內容
5.
XXE萌新進階全攻略
6.
Installation failed due to: ‘Connection refused: connect‘安卓studio端口占用
7.
zabbix5.0通過agent監控winserve12
8.
IT行業UI前景、潛力如何?
9.
Mac Swig 3.0.12 安裝
10.
Windows上FreeRDP-WebConnect是一個開源HTML5代理,它提供對使用RDP的任何Windows服務器和工作站的Web訪問
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
論文閱讀:EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
2.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks(2019)
3.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
4.
[ICML19]EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
5.
#Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
6.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks-文獻閱讀筆記
7.
[論文解讀]ICML 2019|EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
8.
【論文解讀】EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
9.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks (2019)論文筆記
10.
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 論文筆記
>>更多相關文章<<