文件名称:convlutional_network_GPU
介绍说明－－下载内容均来自于网络，请自行研究使用
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
(系统自动生成,下载前可以参看下载内容)
下载文件列表
convlutional_network_GPU\demo\demoMLCNN.m
........................\MaxPooling\.cproject
........................\..........\.project
........................\..........\.settings\org.eclipse.cdt.managedbuilder.core.prefs
........................\..........\.........\org.eclipse.core.resources.prefs
........................\..........\MaxPooling.cpp
........................\..........\MaxPooling.m
........................\..........\MaxPooling.mexmaci64
........................\..........\MaxPooling.mexw64
........................\..........\MaxPooling.m~
........................\..........\README
........................\models\mlcnn.m
........................\readme.txt
........................\startLearning.m
........................\testData2.mat
........................\testLabels2.mat
........................\trainData2.mat
........................\trainLabels2.mat
........................\utils\checkMLNNGradients.m
........................\.....\checkNNGradients.m
........................\.....\dataProcessing.m
........................\.....\dataProcessing2.m
........................\.....\gpuDistribute.m
........................\.....\gpuGather.m
........................\.....\loadData.m
........................\.....\maxPooling.m
........................\.....\medalConstants.m
........................\.....\myScatter.m
........................\.....\notDefined.m
........................\.....\preProcessData.m
........................\.....\sc.m
........................\.....\sigmoid.m
........................\.....\softMax.m
........................\.....\softRect.m
........................\.....\subplottight.m
........................\MaxPooling\.settings
........................\demo
........................\MaxPooling
........................\models
........................\utils
convlutional_network_GPU