主要CNN结构论文讲解

[yushenxiang]

https://blog.csdn.net/qianqing13579/article/details/71076261 LeNet论文的翻译与CNN三大核心思想的解读

https://blog.csdn.net/silent56_th/article/details/53428057 LeNet论文阅读：CNN设计原理

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https://blog.csdn.net/zyqdragon/article/details/72353420 深度学习AlexNet模型详细分析

https://blog.csdn.net/tinyzhao/article/details/53035944?locationNum=9&fps=1 神经网络：AlexNet

https://www.cnblogs.com/gongxijun/p/6027747.html 神经网络模型之AlexNet的一些总结

https://www.cnblogs.com/alexanderkun/p/6918045.html AlexNet详解3

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https://blog.csdn.net/sunpeng19960715/article/details/65938564 GoogleNet模型解读

https://blog.csdn.net/shuzfan/article/details/50738394 GoogLeNet系列解读

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https://blog.csdn.net/qq_31531635/article/details/71170861 深度学习之解读VGGNet

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https://blog.csdn.net/wspba/article/details/56019373 ResNet论文笔记

https://blog.csdn.net/buyi_shizi/article/details/53336192 对ResNet的理解

http://www.sohu.com/a/163256797_697750 干货 | 深度详解ResNet及其六大变体

https://www.cnblogs.com/shouhuxianjian/p/7766441.html Feature Extractor[ResNet]

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https://www.cnblogs.com/52machinelearning/p/5821591.html

Deep Learning回顾#之LeNet、AlexNet、GoogLeNet、VGG、ResNet

CNN网络架构演进：从LeNet到DenseNet https://www.cnblogs.com/skyfsm/p/8451834.html

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https://blog.csdn.net/t800ghb/article/details/78879612 深度解读谷歌MobileNet

https://blog.csdn.net/sun_28/article/details/78170878 CNN网络优化学习总结——从MobileNet到ShuffleNet

https://blog.csdn.net/u013709270/article/details/78722985 MobileNet 的TensorFlow实现

https://blog.csdn.net/u014380165/article/details/72938047 MobileNets—深度学习模型的加速

https://blog.csdn.net/u011995719/article/details/79135818 轻量化网络：MobileNet-V2

https://blog.csdn.net/u014380165/article/details/79200958 MobileNet v2 算法笔记

https://blog.csdn.net/qq_14975217/article/details/79410324 MobileNet V2 论文笔记

https://www.jianshu.com/p/1cf3b543afff?utm_source=oschina-app Python 3 & Keras 实现Mobilenet v2

[yushenxiang]

https://blog.csdn.net/wang1127248268/article/details/77258055\ keras实现常用深度学习模型LeNet，AlexNet，ZFNet，VGGNet，GoogleNet，Resnet

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https://blog.csdn.net/losteng/article/details/51520555 Global average Pooling

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https://blog.csdn.net/u014380165/article/details/75142664 DenseNet算法详解

http://www.sohu.com/a/161639222_114877 CVPR 2017最佳论文作者解读：DenseNet 的“what”、“why”和“how”｜CVPR 2017

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https://baijiahao.baidu.com/s?id=1589005428414488177&wfr=spider&for=pc 纵览轻量化卷积神经网络：SqueezeNet、MobileNet、ShuffleNet、Xception

https://blog.csdn.net/csdnldp/article/details/78648543 SqueezeNet详细解读

https://blog.csdn.net/u011974639/article/details/79200559 轻量级网络--ShuffleNet论文解读

https://www.cnblogs.com/heguanyou/p/8087422.html ShuffleNet总结

https://blog.csdn.net/u014380165/article/details/81322175 ShuffleNet v2算法笔记

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https://www.sohu.com/a/161793789_642762 CVPR | ImageNet冠军模型SE-Net详解！

https://blog.csdn.net/u014380165/article/details/75142710/ Xception算法详解

https://blog.csdn.net/whz1861/article/details/78395684 深度学习之基础模型-Xception

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https://baijiahao.baidu.com/s?id=1609844411609411061&wfr=spider&for=pc ECCV 2018 | 港科腾讯等提出Bi-Real net：超XNOR-net 10%的ImageNet分类精度

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https://blog.csdn.net/tMb8Z9Vdm66wH68VX1/article/details/81090757 手把手教你用Keras进行多标签分类（附代码）