cnn_linear_max-master
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：89KB
下载次数：19
上传日期：2015-04-02 15:34:17
上 传 者：
lihuayuluo0621
说明： 一个简单的卷积神经网络与线性神经元。
结构:输入- >卷积- > max池- >卷积- > max池- >完全连接。
编译c++马克斯池功能首先输入“墨西哥人MaxPooling.cpp”。
数据可以在http://ai.stanford.edu/下载~ amaas /数据/ data.zip
可以在http://ufldl.stanford.edu/wiki/index.php/Using_the_MNIST_Dataset下载的数据加载函数
约98 为50时代的所有训练数据分类精度。
(A simple convolutional neural network with linear neurons.
Structure: input->convolution->max pooling->convolution->max pooling->fully connected.
Compile the max pooling function in C++ first by typing mex MaxPooling.cpp .
The data can be downloaded in http://ai.stanford.edu/~amaas/data/data.zip
The data loading functions can be downloaded in http://ufldl.stanford.edu/wiki/index.php/Using_the_MNIST_Dataset
About 98 classification accuracy for 50 epochs of all training data.)
文件列表:
cnnTest.m (1513, 2014-01-17)
cnnTrain.m (5574, 2014-01-17)
Debug (0, 2015-04-01)
Debug\MaxPooling.pch (340164, 2015-04-01)
Debug\vc60.idb (41984, 2015-04-01)
Debug\vc60.pdb (45056, 2015-04-01)
MaxPooling.cpp (8899, 2015-04-01)
MaxPooling.dsp (3449, 2015-04-01)
MaxPooling.dsw (528, 2015-04-01)
MaxPooling.ncb (41984, 2015-04-01)
MaxPooling.opt (48640, 2015-04-01)
MaxPooling.plg (1340, 2015-04-01)
upsampleMax.m (142, 2014-01-17)
A simple convolutional neural network with linear neurons.
Structure: input->convolution->max pooling->convolution->max pooling->fully connected.
Compile the max pooling function in C++ first by typing 'mex MaxPooling.cpp'.
The data can be downloaded in http://ai.stanford.edu/~amaas/data/data.zip
The data loading functions can be downloaded in http://ufldl.stanford.edu/wiki/index.php/Using_the_MNIST_Dataset
About ***% classification accuracy for 50 epochs of all training data.
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