一、理解卷积与反卷积
卷积与反卷积图形化理解：
http://blog.csdn.net/Fate_fjh/article/details/52882134
卷积与反卷积代数化理解：
https://www.zhihu.com/question/43609045/answer/120266511
二、理解全卷积神经网络
http://blog.csdn.net/fate_fjh/article/details/53446630
http://blog.csdn.net/yj3254/article/details/53033598
http://blog.csdn.net/gavin__zhou/article/details/52142696
http://blog.csdn.net/taigw/article/details/51401448
三、C++调用Python模块
http://blog.csdn.net/qq_34484472/article/details/76598852
http://blog.csdn.net/magictong/article/details/8947892
四、Caffe fine-tune
https://www.cnblogs.com/xuanyuyt/p/6062204.html
五、常用数据集
https://www.cnblogs.com/zhao441354231/p/6140217.html
http://blog.csdn.net/weixin_35653315/article/details/71028523
https://www.cnblogs.com/geekvc/p/6657369.html
六、Caffe模型转Tensorflow模型
https://github.com/ethereon/caffe-tensorflow