ResNets、HighwayNets、DenseNets 分手后的思念是犯贱 2022-07-15 05:16 133阅读 0赞 ## highway networks ## [Training Very Deep Networks--Highway Networks][] ## residual net ## [Deep Residual Learning for Image Recognition][] [Deep Residual Learning for Image Recognition][Deep Residual Learning for Image Recognition 1] [\[caffe\]深度学习之MSRA图像分类模型Deep Residual Network(深度残差网络)解读][caffe_MSRA_Deep Residual Network] [ResNet-50 prototxt][] [ResNet-101/152 Protofiles and Caffemodels][ResNet-101_152 Protofiles and Caffemodels] [秒懂！何凯明的深度残差网络PPT是这样的|ICML2016 tutorial][PPT_ICML2016 tutorial] [ResNets、HighwayNets、DenseNets：用 TensorFlow 实现超深度神经网络][ResNets_HighwayNets_DenseNets_ TensorFlow] [Caffe在Cifar10上复现ResNet][Caffe_Cifar10_ResNet] [ResNet && DenseNet(原理篇)][ResNet _ DenseNet] [ResNet && DenseNet(原理篇)][ResNet _ DenseNet] [\[深度学习\]暴走的残差深度学习网络家族！加深了网络还是隐式多网络叠加？][Link 1] [TensorFlow实现ResNet（ResNet 152网络结构的forward耗时检测）][TensorFlow_ResNet_ResNet 152_forward] https://github.com/yihui-he/resnet-imagenet-caffe [DenseNet模型][DenseNet] [CNN--结构上的思考][CNN--] [Deep Learning回顾\#之LeNet、AlexNet、GoogLeNet、VGG、ResNet][Deep Learning_LeNet_AlexNet_GoogLeNet_VGG_ResNet] [神经网络架构演进史：全面回顾从LeNet5到Googlenet，resnet，fractalnet,ENet十余种架构][LeNet5_Googlenet_resnet_fractalnet_ENet] [LeNet、AlexNet、GoogLeNet、VGG、ResNetInception-ResNet-v2、FractalNet、DenseNet][LeNet_AlexNet_GoogLeNet_VGG_ResNetInception-ResNet-v2_FractalNet_DenseNet] https://github.com/shicai/DenseNet-Caffe https://github.com/liuzhuang13/DenseNet https://github.com/liuzhuang13/DenseNetCaffe https://github.com/Tongcheng/DN\_CaffeScript https://github.com/flyyufelix/DenseNet-Keras https://github.com/liuzhuang13/DenseNetCaffe [Training Very Deep Networks--Highway Networks]: http://blog.csdn.net/cv_family_z/article/details/50349436 [Deep Residual Learning for Image Recognition]: http://blog.csdn.net/cv_family_z/article/details/50328175 [Deep Residual Learning for Image Recognition 1]: http://blog.csdn.net/cv_family_z/article/details/46727519 [caffe_MSRA_Deep Residual Network]: http://blog.csdn.net/sunbaigui/article/details/50906002 [ResNet-50 prototxt]: http://blog.csdn.net/baidu_24281959/article/details/53024666 [ResNet-101_152 Protofiles and Caffemodels]: http://blog.csdn.net/baidu_24281959/article/details/53203757 [PPT_ICML2016 tutorial]: http://www.leiphone.com/news/201608/vhqwt5eWmUsLBcnv.html [ResNets_HighwayNets_DenseNets_ TensorFlow]: https://mp.weixin.qq.com/s?__biz=MzI3MTA0MTk1MA==&mid=2651988934&idx=2&sn=0e5ffa195ef67a1371f3b5b223519121&chksm=f1215737c656de2119055a3f98095c8b4adb490c800997b9263b864c1d22097612269e198967&mpshare=1&scene=1&srcid=1103HrBckWbA6EbX3pjIfK4J&pass_ticket=8ZnZT7yyb12sRxVaDEU1D6MszY%2BWGmg6ARJi8RaZoK2yz0jgTh9xHoHPRzd3HXsX#rd [Caffe_Cifar10_ResNet]: http://blog.csdn.net/a_1937/article/details/51507545 [ResNet _ DenseNet]: http://blog.csdn.net/gavin__zhou/article/details/53445539 [Link 1]: http://blog.csdn.net/sunbaigui/article/details/51702563 [TensorFlow_ResNet_ResNet 152_forward]: http://blog.csdn.net/superman_xxx/article/details/65452735 [DenseNet]: http://blog.csdn.net/u012938704/article/details/53468483 [CNN--]: https://zhuanlan.zhihu.com/p/22214112 [Deep Learning_LeNet_AlexNet_GoogLeNet_VGG_ResNet]: http://www.mamicode.com/info-detail-1506346.html [LeNet5_Googlenet_resnet_fractalnet_ENet]: http://blog.csdn.net/u014114990/article/details/52583283 [LeNet_AlexNet_GoogLeNet_VGG_ResNetInception-ResNet-v2_FractalNet_DenseNet]: http://blog.csdn.net/u014114990/article/details/53905649
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