简单理解ConvNet层的Backpropagation

这里只谈一下二维的情况，也就是channel = 1, strides = 1的情况下，单就这一层的计算. ConvNet forward propagation filter’s shape: [height, length, 1] y i , j = Σ n = 0 l e n g t h Σ m = 0 h e i g h t W m , n x i + m , j + n y_{i,j}

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