Comments (4)
不好意思哈,没有
from deep-residual-shrinkage-networks.
那么我按照文中的写法,把我网络中的SENet替换成收缩网络,这种思路可以尝试么?
from deep-residual-shrinkage-networks.
我也没做过,可以试一下。关于代码,我最开始写的是TFLearn的,后来补充了Keras的,但是Keras这个工具箱本身似乎有bug,有一些相关的报道:https://tech.sina.com.cn/csj/2020-07-15/doc-iivhvpwx5493678.shtml
我没用过pytorch,现在工作了,也很少有时间学。
from deep-residual-shrinkage-networks.
你好,请问有没有与ResNet50结合的pytorch版本实现呢?
我看到一个网友写了残差收缩网络的部分pytorch代码,可以参考一下:https://zhuanlan.zhihu.com/p/337346575
from deep-residual-shrinkage-networks.
Related Issues (16)
- RSBU-CS and RSBU-CS HOT 2
- 一维信号
- 一维信号输入问题 HOT 1
- 一维信号输入问题 HOT 1
- 版本问题 HOT 1
- 一维信号处理 HOT 1
- 一维信号处理 HOT 2
- 关于添加噪声 HOT 1
- 关于pad_backend函数中padding的疑问 HOT 2
- 关于Downsampling和Zero_padding的疑问 HOT 9
- 大佬,请问训练数据能够提供一下吗? HOT 3
- 关于阈值选择的问题 HOT 3
- how to use 1-D input? HOT 1
- 关于使用一维信号作为输入的问题 HOT 4
- 关于一维信号输入问题 HOT 1
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