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深入学习卷积神经网络中卷积层和池化层的意义 - 战争热诚
source link: https://www.cnblogs.com/wj-1314/p/9593364.html
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为什么要使用卷积呢? 在传统的神经网络中,比如多层感知机(MLP),其输入通常是一个特征向量,需要人工设计特征,然后将这些特征计算的值组成特征向量,在过去几十年的经验来看,人工找到的特征并不是怎么好用
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