DeepNetModel
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guanfuchen
记录每一个常用的深度模型结构的特点（图和代码）
related paper |摘要| |---| |In this work we investigate **the effect of the convolutional network depth** on its accuracy in the large-scale image recognition setting. Our main contribution is a...
related paper |摘要| |---| |Deep residual networks were shown to be able to scale up to thousands of layers and still have improving performance. However, each fraction of a percent...
删除线表示任务完成或基本完成。 - 阅读论文Residual Networks Behave Like Ensembles of Relatively Shallow Networks，增加对残差网络的深入理解。 - ~~阅读论文Wide residual networks，对wide残差网络有更深入的理解~~，实现相关代码，参考 #2 - 阅读论文Systematic evaluation of CNN advances on the ImageNet，对ImageNet上取得的相关进展进行了解。
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related paper |摘要| |---| |Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has...