想要深入理解卷积神经网络,就要理解数学里卷积 (Convolution) 的概念,可以参见 Convolution,还可以阅读 Chris Olah’s blog post - Understanding Convolutions
Filters and Feature Maps
\[m_{ij}^k = f((W * x)_{ij} + b^k)\]deep convolutional networks
Building blocks
Convolutional layer
神经元可以表示为
\[y = \sigma(Wx + b)\]Pooling layer
ReLU layer
Fully connected layer
Loss layer
词汇
- locally invariant 局部不变
- fractional max pooling 分数最大池
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