资源详细信息
Densely Connected Convolutional Networks - 资源详细说明
Recent work has shown that convolutional networks can
be substantially deeper, more accurate, and efficient to train
if they contain shorter connections between layers close to
the input and those close to the output. In this paper, we
embrace this observation and introduce the Dense Convo-
lutional Network (DenseNet), which connects each layer
to every other layer in a feed-forward fashion.
be substantially deeper, more accurate, and efficient to train
if they contain shorter connections between layers close to
the input and those close to the output. In this paper, we
embrace this observation and introduce the Dense Convo-
lutional Network (DenseNet), which connects each layer
to every other layer in a feed-forward fashion.
立即下载 Densely Connected Convolutiona
提示:下载后请用压缩软件解压,推荐使用 WinRAR 或 7-Zip
下载说明与使用指南
下载说明
- 本资源需消耗 2积分
- 24小时内重复下载不扣分
- 支持断点续传功能
- 资源永久有效可用
使用说明
- 下载后使用解压软件解压
- 推荐使用 WinRAR 或 7-Zip
- 如有密码请查看资源说明
- 解压后即可正常使用
积分获取方式
- 上传优质资源获得积分
- 每日签到免费领取积分
- 邀请好友注册获得奖励
- 查看详情 →