Convolutional-Neural-Network-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:14815KB
下载次数:40
上传日期:2018-04-09 11:20:15
上 传 者WG_JNU
说明:  基于MATLAB实现的卷积神经网络例子,包括详细的解释。
(An example of convolution neural network based on MATLAB)

文件列表:
cnn.mat (4510134, 2015-06-18)
cnnConvolve4D.m (930, 2015-06-18)
cnnPool.m (1538, 2015-06-18)
cnnTest.m (850, 2015-06-18)
cnnTrain.m (7239, 2015-06-18)
common\loadMNISTImages.m (811, 2015-06-18)
common\loadMNISTLabels.m (516, 2015-06-18)
common\t10k-images-idx3-ubyte (7840016, 2015-06-18)
common\t10k-labels-idx1-ubyte (10008, 2015-06-18)
common\train-images-idx3-ubyte (47040016, 2015-06-18)
common\train-labels-idx1-ubyte (60008, 2015-06-18)
Example.m (1312, 2015-06-18)
InitializeParameters.m (1811, 2015-06-18)
common (0, 2018-01-19)

# Convolutional-Neural-Network This is a matlab implementation of CNN on MNIST It can have as many layers as you want, an example of setting structure of a neural network is as below: cnn.layers = { struct('type', 'c', 'numFilters', 6, 'filterDim', 5) struct('type', 'p', 'poolDim', 2) struct('type', 'c', 'numFilters', 8, 'filterDim', 5) struct('type', 'p', 'poolDim', 2) %subsampling layer }; The above code sets up a two-layer convolutional neural network. To try the demo, just run Example.m.

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