convlutional_network_GPU
所属分类：matlab编程
开发工具：matlab
文件大小：2246KB
下载次数：130
上传日期：2014-08-07 20:44:20
上 传 者：
jql0929
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)
convlutional_network_GPU\MaxPooling\.cproject (11090, 2011-06-24)
convlutional_network_GPU\MaxPooling\.project (2573, 2011-07-11)
convlutional_network_GPU\MaxPooling\.settings\org.eclipse.cdt.managedbuilder.core.prefs (1179, 2011-06-24)
convlutional_network_GPU\MaxPooling\.settings\org.eclipse.core.resources.prefs (91, 2011-07-11)
convlutional_network_GPU\MaxPooling\MaxPooling.cpp (8899, 2011-07-18)
convlutional_network_GPU\MaxPooling\MaxPooling.m (404, 2011-07-18)
convlutional_network_GPU\MaxPooling\MaxPooling.mexmaci64 (29888, 2011-07-12)
convlutional_network_GPU\MaxPooling\MaxPooling.mexw64 (13312, 2013-08-21)
convlutional_network_GPU\MaxPooling\MaxPooling.m~ (1, 2011-07-11)
convlutional_network_GPU\models\mlcnn.m (41288, 2014-01-06)
convlutional_network_GPU\startLearning.m (289, 2013-08-08)
convlutional_network_GPU\testData2.mat (1144586, 2013-12-30)
convlutional_network_GPU\testLabels2.mat (18342, 2013-12-30)
convlutional_network_GPU\trainData2.mat (1146600, 2013-12-30)
convlutional_network_GPU\trainLabels2.mat (18122, 2013-12-30)
convlutional_network_GPU\utils\checkMLNNGradients.m (1202, 2013-06-17)
convlutional_network_GPU\utils\checkNNGradients.m (6559, 2013-06-17)
convlutional_network_GPU\utils\dataProcessing.m (4447, 2013-11-19)
convlutional_network_GPU\utils\dataProcessing2.m (4356, 2013-11-19)
convlutional_network_GPU\utils\gpuDistribute.m (262, 2013-06-17)
convlutional_network_GPU\utils\gpuGather.m (403, 2013-06-17)
convlutional_network_GPU\utils\loadData.m (793, 2013-08-09)
convlutional_network_GPU\utils\maxPooling.m (889, 2014-01-06)
convlutional_network_GPU\utils\medalConstants.m (430, 2013-06-17)
convlutional_network_GPU\utils\myScatter.m (920, 2013-06-17)
convlutional_network_GPU\utils\notDefined.m (1116, 2013-06-17)
convlutional_network_GPU\utils\preProcessData.m (255, 2013-11-08)
convlutional_network_GPU\utils\sc.m (146, 2012-06-15)
convlutional_network_GPU\utils\sigmoid.m (69, 2013-06-17)
convlutional_network_GPU\utils\softMax.m (432, 2013-06-17)
convlutional_network_GPU\utils\softRect.m (224, 2013-06-17)
convlutional_network_GPU\utils\subplottight.m (897, 2013-06-17)
convlutional_network_GPU\MaxPooling\.settings (0, 2014-01-06)
convlutional_network_GPU\demo (0, 2014-01-06)
convlutional_network_GPU\MaxPooling (0, 2014-01-06)
convlutional_network_GPU\models (0, 2014-01-06)
convlutional_network_GPU\utils (0, 2014-01-06)
... ...
run 'startLearning.m' to initialize runtime environment
run 'demoMLCNN.m' to start training
author:Marvin
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