[Conv -> Pool] -> [FC->Fc] -> Output。 也有 [Conv -> Conv -> Pool] (VGG16)。
Conv一般采用same padding， 不减少height and width，但增加channel。
Pooling 一般用来reduce height and width，同时keep the channel unchanged. kernel一般为2x2, stride=2。
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本文标题：Classical Neural Networks总结
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