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文件名称:SVM_tensorflow-master
介绍说明--下载内容来自于网络,使用问题请自行百度
SVM通过tensorflow训练iris数据集,寻找最优参数,使误差最小化(SVM trains iris data set through tensorflow to find the optimal parameters and minimize the error.)
相关搜索: svm 预测
tensorflow
(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 |
|---|---|---|
| SVM_tensorflow-master | 0 | 2019-03-18 |
| SVM_tensorflow-master\.idea | 0 | 2019-03-15 |
| SVM_tensorflow-master\.idea\inspectionProfiles | 0 | 2019-03-15 |
| SVM_tensorflow-master\.idea\inspectionProfiles\profiles_settings.xml | 128 | 2018-04-23 |
| SVM_tensorflow-master\.idea\misc.xml | 219 | 2018-04-23 |
| SVM_tensorflow-master\.idea\modules.xml | 282 | 2018-04-23 |
| SVM_tensorflow-master\.idea\支持向量机.iml | 284 | 2018-04-23 |
| SVM_tensorflow-master\.ipynb_checkpoints | 0 | 2019-03-15 |
| SVM_tensorflow-master\.ipynb_checkpoints\Untitled-checkpoint.ipynb | 72 | 2019-03-15 |
| SVM_tensorflow-master\.ipynb_checkpoints\Untitled1-checkpoint.ipynb | 72 | 2019-03-15 |
| SVM_tensorflow-master\Untitled.ipynb | 75599 | 2019-03-18 |
| SVM_tensorflow-master\Untitled1.ipynb | 37026 | 2019-03-15 |
| SVM_tensorflow-master\__init__.py | 44 | 2018-04-23 |
| SVM_tensorflow-master\核函数的应用.py | 1437 | 2018-04-23 |
| SVM_tensorflow-master\线性向量机应用_最基本.py | 5158 | 2018-04-23 |
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