卷积神经网络学习笔记(1)

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