文件名称:multi-layer-convnet-master
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [C/C++]
- 上传时间：
- 2018-02-24
- 文件大小：
- 38kb
- 下载次数：
- 0次
- 提 供 者：
- 若***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
深度学习中的卷积神经网络程c/c++代码简单实现(deep learning convnet network)
相关搜索： 卷积神经网络
(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 |
|---|---|---|
| multi-layer-convnet-master | 0 | 2015-04-28 |
| multi-layer-convnet-master\CMakeLists.txt | 165 | 2015-04-28 |
| multi-layer-convnet-master\README.md | 1664 | 2015-04-28 |
| multi-layer-convnet-master\config.txt | 910 | 2015-04-28 |
| multi-layer-convnet-master\former_version | 0 | 2015-04-28 |
| multi-layer-convnet-master\former_version\CMakeLists.txt | 131 | 2015-04-28 |
| multi-layer-convnet-master\former_version\ConvNet.cpp | 38100 | 2015-04-28 |
| multi-layer-convnet-master\src | 0 | 2015-04-28 |
| multi-layer-convnet-master\src\convolution.cc | 15399 | 2015-04-28 |
| multi-layer-convnet-master\src\convolution.h | 884 | 2015-04-28 |
| multi-layer-convnet-master\src\cost_gradient.cc | 10759 | 2015-04-28 |
| multi-layer-convnet-master\src\cost_gradient.h | 160 | 2015-04-28 |
| multi-layer-convnet-master\src\data_enlarge.cc | 2130 | 2015-04-28 |
| multi-layer-convnet-master\src\data_enlarge.h | 333 | 2015-04-28 |
| multi-layer-convnet-master\src\data_structure.h | 1408 | 2015-04-28 |
| multi-layer-convnet-master\src\general_settings.h | 1910 | 2015-04-28 |
| multi-layer-convnet-master\src\get_sample.cc | 1432 | 2015-04-28 |
| multi-layer-convnet-master\src\get_sample.h | 163 | 2015-04-28 |
| multi-layer-convnet-master\src\gradient_checking.cc | 3942 | 2015-04-28 |
| multi-layer-convnet-master\src\gradient_checking.h | 359 | 2015-04-28 |
| multi-layer-convnet-master\src\helper.cc | 1957 | 2015-04-28 |
| multi-layer-convnet-master\src\helper.h | 346 | 2015-04-28 |
| multi-layer-convnet-master\src\matrix_maths.cc | 4566 | 2015-04-28 |
| multi-layer-convnet-master\src\matrix_maths.h | 1078 | 2015-04-28 |
| multi-layer-convnet-master\src\read_config.cc | 8268 | 2015-04-28 |
| multi-layer-convnet-master\src\read_config.h | 365 | 2015-04-28 |
| multi-layer-convnet-master\src\read_data.cc | 4889 | 2015-04-28 |
| multi-layer-convnet-master\src\read_data.h | 450 | 2015-04-28 |
| multi-layer-convnet-master\src\result_predict.cc | 3155 | 2015-04-28 |
| multi-layer-convnet-master\src\result_predict.h | 286 | 2015-04-28 |
| multi-layer-convnet-master\src\sample.cc | 1603 | 2015-04-28 |
| multi-layer-convnet-master\src\save_weights.cc | 3052 | 2015-04-28 |
| multi-layer-convnet-master\src\save_weights.h | 326 | 2015-04-28 |
| multi-layer-convnet-master\src\string_proc.cc | 6047 | 2015-04-28 |
| multi-layer-convnet-master\src\string_proc.h | 484 | 2015-04-28 |
| multi-layer-convnet-master\src\train_network.cc | 6958 | 2015-04-28 |
| multi-layer-convnet-master\src\train_network.h | 285 | 2015-04-28 |
| multi-layer-convnet-master\src\weight_init.cc | 3077 | 2015-04-28 |
| multi-layer-convnet-master\src\weight_init.h | 270 | 2015-04-28 |