本文深入探讨了Caffe框架的基础及其与Caffe2的区别，提供了加入多标签和Triplet损失函数的方法，包括详细的实现步骤和相关GitHub资源链接。
https://blog.youkuaiyun.com/hjxu2016/article/details/70256147
caffe caffe2区别
https://www.cnblogs.com/carle-09/p/9033608.html
深度学习课程
https://github.com/kmario23/deep-learning-drizzle
caffe 加入多标签
https://www.cnblogs.com/linyuanzhou/p/6370677.html
caffe加入tripletloss
https://blog.youkuaiyun.com/sinat_24143931/article/details/78688988
https://github.com/pva701/caffe/tree/triplet_loss/src/caffe/layers
https://github.com/iversonicter/Caffe-TripletLoss/blob/master/train_val.prototxt
https://github.com/luhaofang/tripletloss
https://github.com/iversonicter/Caffe-TripletLoss
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