NIN网络和1X1卷积的原理

深度学习 CNN卷积神经网络 LeNet-5详解

https://blog.youkuaiyun.com/happyorg/article/details/78274066

卷积神经网络之NiN(2013)

https://blog.youkuaiyun.com/P_LarT/article/details/83821743

【机器学习】关于CNN中1×1卷积核和Network in Network的理解

https://blog.youkuaiyun.com/haolexiao/article/details/77073258

Network-in-Network简单实现，基于tensorflow

https://blog.youkuaiyun.com/luoyexuge/article/details/78723053

Global Average Pooling全局平均池化的一点理解

https://blog.youkuaiyun.com/qq_23304241/article/details/80292859

 

深度学习笔记--激活函数：sigmoid，maxout

https://blog.youkuaiyun.com/Chaolei3/article/details/78873039

深度学习中的卷积与反卷积

https://blog.youkuaiyun.com/panglinzhuo/article/details/75207855

深度学习模型压缩与加速算法之SqueezeNet和ShuffleNet

https://blog.youkuaiyun.com/u010402786/article/details/77720483/

最新SqueezeNet 模型详解，CNN模型参数降低50倍，压缩461倍！

https://blog.youkuaiyun.com/xbinworld/article/details/50897870

 

基于TensorFlow实现AlexNet网络的构建、测试、微调过程

https://blog.youkuaiyun.com/jyy555555/article/details/80498275

TensorFlow实战之实现AlexNet经典卷积神经网络（LRN算法原理）

http://www.cnblogs.com/georgeli/p/8476307.html  

TensorFlow API 简介

https://cloud.tencent.com/developer/article/1146508

 

faster-RCNN算法原理详解

https://blog.youkuaiyun.com/wfei101/article/details/76400672