【Pruning系列：一】Learning Efficient Convolutional Networks through Network Slimming
NS 機構 Tsinghua,Intel motivation 訓練中的剪枝 基於BN（Batch Normalization）層的廣泛使用，在BN層加入channel-wise scaling factor 並對之加L1 regularizer使之稀疏，然後裁剪scaling factor值小的部分對應權重 用 BN 層的 y 來表示卷積核的重要程度，y 小對應卷積核重要性低 γ 非常小時，送入
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