How Does BN Increase Collapsed Neural Network Filters?

30 Jan 2020Sheng ZhouXinjiang WangPing LuoLitong FengWenjie LiWei Zhang

Improving sparsity of deep neural networks (DNNs) is essential for network compression and has drawn much attention. In this work, we disclose a harmful sparsifying process called filter collapse, which is common in DNNs with batch normalization (BN) and rectified linear activation functions (e.g. ReLU, Leaky ReLU)... (read more)

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