文件名称:rbm-ae-tf-master
介绍说明--下载内容均来自于网络,请自行研究使用
用TensorFlow实现自动编码技术。自动编码可以提取特征。用于分类和回归(Automatically encode with TensorFlow. Automatic coding can extract features. Used for classification and regression)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
rbm-ae-tf-master | 0 | 2017-11-15 |
rbm-ae-tf-master\.gitignore | 18 | 2017-11-15 |
rbm-ae-tf-master\LICENSE | 1079 | 2017-11-15 |
rbm-ae-tf-master\README.md | 2838 | 2017-11-15 |
rbm-ae-tf-master\au.py | 4959 | 2017-11-15 |
rbm-ae-tf-master\input_data.py | 7559 | 2017-11-15 |
rbm-ae-tf-master\rbm.py | 7519 | 2017-11-15 |
rbm-ae-tf-master\test-ae-rbm.py | 4382 | 2017-11-15 |
rbm-ae-tf-master\test-img | 0 | 2017-11-15 |
rbm-ae-tf-master\test-img\1rbm.jpg | 233529 | 2017-11-15 |
rbm-ae-tf-master\test-img\2rbm.jpg | 183599 | 2017-11-15 |
rbm-ae-tf-master\test-img\3rbm.jpg | 53408 | 2017-11-15 |
rbm-ae-tf-master\test-img\deepauto.png | 299032 | 2017-11-15 |
rbm-ae-tf-master\test-img\pcafig.png | 210828 | 2017-11-15 |
rbm-ae-tf-master\util.py | 5097 | 2017-11-15 |
rbm-ae-tf-master\utilsnn.py | 1487 | 2017-11-15 |