Two-Layer-CNN-on-MNIST-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：4KB
下载次数：29
上传日期：2018-04-29 20:45:47
上 传 者：
wei700
说明： cnn Mnist 两层卷积实现，可以达到97%d 识别率，大家可以拿来上手试用
(CNN MNIST two layers)
文件列表:
cnnConvolve4D.m (930, 2015-06-17)
cnnPool.m (1538, 2015-06-17)
myCNN.m (8536, 2018-04-12)
# Two-Layer-CNN-on-MNIST
This is a two-layer convolutional neural network tested on MNIST.
The architecture is images->convolution->pooling->convolution->pooling->softmax, with cross-entropy as its cost function and weight decay.
It can reach an accurancy of 96.34%, of course different random initialization may give different result. This is just a result for one run.
To run the code, just run myCNN.m.
A Chinese version of blog about this implementation can be found at: http://www.cnblogs.com/sunshineatnoon/p/4584427.html
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