模型壓縮：Networks Slimming-Learning Efficient Convolutional Networks through Network Slimming
Network Slimming-Learning Efficient Convolutional Networks through Network Slimming（Paper） 2017年ICCV的一篇paper，思路清晰，骨骼清奇~~git 創新點： 1. 利用batch normalization中的縮放因子γ 做爲重要性因子，即γ越小，所對應的channel不過重要，就能夠裁剪（prun
相關文章
- 1. 模型壓縮：Networks Slimming-Learning Efficient Convolutional Networks through Network Slimming
- 2. 模型壓縮之Learning Efficient Convolutional Networks through Network Slimming
- 3. 模型剪枝----Learning Efficient Convolutional Networks through Network Slimming
- 4. 《Learning Efficient Convolutional Networks through Network Slimming》論文筆記
- 5. 【論文閱讀筆記】Learning Efficient Convolutional Networks through Network Slimming
- 6. DL經典文章翻譯2：Learning Efficient Convolutional Networks through Network Slimming
- 7. [論文理解] Learning Efficient Convolutional Networks through Network Slimming
- 8. 【Pruning系列：一】Learning Efficient Convolutional Networks through Network Slimming
- 9. 【Pruning系列：二】Learning Efficient Convolutional Networks through Network Slimming｜YOLOv3實踐 ｜Pytorch 總結
- 10. 模型壓縮
- 更多相關文章...
- • ASP.NET MVC - 模型 - ASP.NET 教程
- • Scala 模式匹配 - Scala教程
- • 委託模式
- • Flink 數據傳輸及反壓詳解
相關標籤/搜索
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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 模型壓縮：Networks Slimming-Learning Efficient Convolutional Networks through Network Slimming
- 2. 模型壓縮之Learning Efficient Convolutional Networks through Network Slimming
- 3. 模型剪枝----Learning Efficient Convolutional Networks through Network Slimming
- 4. 《Learning Efficient Convolutional Networks through Network Slimming》論文筆記
- 5. 【論文閱讀筆記】Learning Efficient Convolutional Networks through Network Slimming
- 6. DL經典文章翻譯2：Learning Efficient Convolutional Networks through Network Slimming
- 7. [論文理解] Learning Efficient Convolutional Networks through Network Slimming
- 8. 【Pruning系列：一】Learning Efficient Convolutional Networks through Network Slimming
- 9. 【Pruning系列：二】Learning Efficient Convolutional Networks through Network Slimming｜YOLOv3實踐 ｜Pytorch 總結
- 10. 模型壓縮