1 . blob 看blob.hpp
Blob(const int num, const int channels, const int height, const int width);2 . conv layer參數(shù)
blobs_lr: 1 # learning rate multiplier for the filters blobs_lr: 2 # learning rate multiplier for the biases weight_decay: 1 # weight decay multiplier for the filters [Regularization] weight_decay: 0 # weight decay multiplier for the biasesweight_filler [default type: 'constant' value: 0]：參數(shù)的初始化方法bias_filler：偏置的初始化方法通過卷積后的大小變化 輸入：
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