tensorflow-gpu==1.13.1
keras==2.1.5
仓库保存了三个例子，分别是：
这三个例子均使用了迁移学习的**，主干部分提取出来的特征是通用的，所以我们可以不训练主干部分先，因此训练部分分为两步，分别是冻结训练和解冻训练，冻结训练是不训练主干的，解冻训练是训练主干的。 由于训练的特征层变多，解冻后所需显存变大。
猫狗数据集：链接: https://pan.baidu.com/s/1TqmdkJBY49ftg19tRK2Ngg 提取码: htxf
斑马线数据集：连接：链接：https://pan.baidu.com/s/1uzwqLaCXcWe06xEXk1ROWw 提取码：pp6w
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