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convlutional_network_GPU

于 2014-08-07 发布 文件大小:2246KB
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代码说明：

  卷积神经网络的GPU实现。使用GPU计算来加速神经网络训练。(GPU convolution neural network implementation. Accelerate the training time)

文件列表：

convlutional_network_GPU
........................\demo
........................\....\demoMLCNN.m,1171,2014-01-06
........................\MaxPooling
........................\..........\.cproject,11090,2011-06-24
........................\..........\.project,2573,2011-07-11
........................\..........\MaxPooling.cpp,8899,2011-07-18
........................\..........\MaxPooling.m,404,2011-07-18
........................\..........\MaxPooling.mexmaci64,29888,2011-07-12
........................\..........\MaxPooling.mexw64,13312,2013-08-21
........................\..........\MaxPooling.m~,1,2011-07-11
........................\..........\htm" target=_blank>README,960,2011-07-12
........................\models
........................\......\mlcnn.m,41288,2014-01-06
........................\readme.txt,111,2014-01-06
........................\startLearning.m,289,2013-08-08
........................\testData2.mat,1144586,2013-12-30
........................\testLabels2.mat,18342,2013-12-30
........................\trainData2.mat,1146600,2013-12-30
........................\trainLabels2.mat,18122,2013-12-30
........................\utils
........................\.....\checkMLNNGradients.m,1202,2013-06-17
........................\.....\checkNNGradients.m,6559,2013-06-17
........................\.....\dataProcessing.m,4447,2013-11-19
........................\.....\dataProcessing2.m,4356,2013-11-19
........................\.....\gpuDistribute.m,262,2013-06-17
........................\.....\gpuGather.m,403,2013-06-17
........................\.....\loadData.m,793,2013-08-09
........................\.....\maxPooling.m,889,2014-01-06
........................\.....\medalConstants.m,430,2013-06-17
........................\.....\myScatter.m,920,2013-06-17
........................\.....\notDefined.m,1116,2013-06-17
........................\.....\preProcessData.m,255,2013-11-08
........................\.....\sc.m,146,2012-06-15
........................\.....\sigmoid.m,69,2013-06-17
........................\.....\softMax.m,432,2013-06-17
........................\.....\softRect.m,224,2013-06-17
........................\.....\subplottight.m,897,2013-06-17

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