《Learning Efficient Convolutional Networks through Network Slimming》论文笔记
代码地址：slimming 1. 概述 导读：这篇文章是一篇关于CNN网络剪枝的文章，文章里面提出通过BatchNorm层的scaling参数确定重要的channel，排除不重要的channel，从而达到网络瘦身的目的。此外文章还引入了L1范数，通过L1范数约束的稀疏特性使得BN的scaling参数趋于0，从而帮助确定非重要的channel，并按照给定的阈值剪裁掉。总的来说这篇文章具有一定局限性，
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相关文章
- 1. 【论文阅读笔记】Learning Efficient Convolutional Networks through Network Slimming
- 2. 模型压缩：Networks Slimming-Learning Efficient Convolutional Networks through Network Slimming
- 3. [论文理解] Learning Efficient Convolutional Networks through Network Slimming
- 4. DL经典文章翻译2：Learning Efficient Convolutional Networks through Network Slimming
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