文件名称:Handwritten_digit_classification
介绍说明－－下载内容来自于网络，使用问题请自行百度
分别使用梯度法和牛顿法训练数据，从而得到3和5两个数字的训练模型，对测试集进行判决，得到训练错误率(The training data were trained by the gradient method and Newton method, and the training models of 3 and 5 numbers were obtained. The test set was judged and the training error rate was obtained.)
相关搜索： HANDWRITTEN
(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 |
|---|---|---|
| hw5 | 0 | 2017-11-06 |
| hw5\.DS_Store | 6148 | 2017-11-06 |
| __MACOSX | 0 | 2018-01-27 |
| __MACOSX\hw5 | 0 | 2018-01-27 |
| __MACOSX\hw5\._.DS_Store | 120 | 2017-11-06 |
| hw5\error_rate1.png | 26864 | 2017-11-06 |
| __MACOSX\hw5\._error_rate1.png | 277 | 2017-11-06 |
| hw5\Untitled.ipynb | 45257 | 2017-11-06 |
| hw5\error_rate2.png | 39948 | 2017-11-06 |
| __MACOSX\hw5\._error_rate2.png | 277 | 2017-11-06 |
| hw5\Handwritten_digit_classification.py | 4777 | 2017-11-06 |
| __MACOSX\hw5\._Handwritten_digit_classification.py | 266 | 2017-11-06 |
| hw5\log_likelihood1.png | 29788 | 2017-11-06 |
| __MACOSX\hw5\._log_likelihood1.png | 277 | 2017-11-06 |
| hw5\log_likelihood2.png | 26762 | 2017-11-06 |
| __MACOSX\hw5\._log_likelihood2.png | 277 | 2017-11-06 |
| hw5\2505_5.py | 3066 | 2017-11-06 |
| __MACOSX\hw5\._2505_5.py | 322 | 2017-11-06 |
| hw5\.ipynb_checkpoints | 0 | 2017-11-06 |
| hw5\.ipynb_checkpoints\Untitled-checkpoint.ipynb | 26580 | 2017-11-06 |
| hw5\hw5_train5.txt | 90300 | 2017-11-04 |
| __MACOSX\hw5\._hw5_train5.txt | 276 | 2017-11-04 |
| hw5\hw5_test3.txt | 51600 | 2017-11-04 |
| __MACOSX\hw5\._hw5_test3.txt | 276 | 2017-11-04 |
| hw5\hw5_train3.txt | 90300 | 2017-11-04 |
| __MACOSX\hw5\._hw5_train3.txt | 276 | 2017-11-04 |
| hw5\hw5_test5.txt | 51600 | 2017-11-04 |
| __MACOSX\hw5\._hw5_test5.txt | 276 | 2017-11-04 |
本网站为编程资源及源代码搜集、介绍的搜索网站，版权归原作者所有！ 粤ICP备11031372号
1999-2046 搜珍网 All Rights Reserved.