python训练的代码

【文件属性】：
文件名称：python训练的代码
文件大小：32.62MB
文件格式：ZIP
更新时间：2021-08-01 11:13:58
deep learnin python 关于信道结构结合深度学习训练的代码，很值得学习。

【文件预览】：
Python_CsiNet-master
----CS-CsiNet_onlytest.py(4KB)
----CS-CsiNet_train.py(7KB)
----saved_model()
--------model_CsiNet_outdoor_dim32.json(13KB)
--------model_CS-CsiNet_indoor_dim32.json(11KB)
--------model_CS-CsiNet_indoor_dim512.json(11KB)
--------model_CsiNet_indoor_dim32.json(13KB)
--------model_CsiNet_outdoor_dim32.h5(605KB)
--------model_CS-CsiNet_outdoor_dim128.json(11KB)
--------model_CS-CsiNet_indoor_dim128.json(11KB)
--------model_CsiNet_indoor_dim128.json(13KB)
--------model_CS-CsiNet_indoor_dim64.json(11KB)
--------model_CsiNet_indoor_dim64.h5(1.09MB)
--------model_CS-CsiNet_outdoor_dim128.h5(1.08MB)
--------model_CS-CsiNet_indoor_dim32.h5(338KB)
--------model_CS-CsiNet_indoor_dim512.h5(4.08MB)
--------model_CS-CsiNet_outdoor_dim64.h5(594KB)
--------model_CS-CsiNet_indoor_dim64.h5(594KB)
--------model_CS-CsiNet_outdoor_dim32.json(11KB)
--------model_CsiNet_outdoor_dim512.json(13KB)
--------model_CS-CsiNet_indoor_dim128.h5(1.08MB)
--------model_CsiNet_indoor_dim32.h5(605KB)
--------model_CsiNet_indoor_dim512.h5(8.09MB)
--------model_CS-CsiNet_outdoor_dim32.h5(338KB)
--------model_CsiNet_outdoor_dim512.h5(8.09MB)
--------model_CS-CsiNet_outdoor_dim512.h5(4.08MB)
--------model_CsiNet_outdoor_dim64.json(13KB)
--------model_CsiNet_outdoor_dim128.h5(2.09MB)
--------model_CsiNet_outdoor_dim64.h5(1.09MB)
--------model_CS-CsiNet_outdoor_dim64.json(11KB)
--------model_CS-CsiNet_outdoor_dim512.json(11KB)
--------model_CsiNet_indoor_dim128.h5(2.09MB)
--------model_CsiNet_indoor_dim64.json(13KB)
--------model_CsiNet_outdoor_dim128.json(13KB)
--------model_CsiNet_indoor_dim512.json(13KB)
----CsiNet_onlytest.py(4KB)
----CsiNet_train.py(7KB)
----README.md(3KB)