CNN 進階：ResNet, VGG, Inception, Xception
你必须要知道CNN模型：ResNet https://zhuanlan.zhihu.com/p/31852747 ResNet的理解及其Keras实现 http://lanbing510.info/2017/08/21/ResNet-Keras.html Docs » Applications https://keras.io/applications/ Keras 入门课4 -- 使用ResNet识别cifar10数据集 https://blog.csdn.net/tsyccnh/article/details/78865167 無需數學背景，讀懂ResNet、Inception和Xception三大變革性架構 http://bangqu.com/4Zy3e7.html keras系列︱Application中五款已训练模型、VGG16框架（Sequential式、Model式）解读（二） https://hk.saowen.com/a/fd5f65fb61d1d7045a9ae8415f61ba77750f3532022d500925b02896700762cf 學習使用Keras建立卷積神經網路 https://chtseng.wordpress.com/2017/09/23/%E5%AD%B8%E7%BF%92%E4%BD%BF%E7%94%A8keras%E5%BB%BA%E7%AB%8B%E5%8D%B7%E7%A9%8D%E7%A5%9E%E7%B6%93%E7%B6%B2%E8%B7%AF/ deep-learning-models https://github.com/fchollet/deep-learning-models Docs » Other » Application应用 https://keras-cn.readthedocs.io/en/latest/other/application/#resnet50