文件名称:convlutional_network_GPU
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2014-04-30
- 文件大小:
- 2.19mb
- 下载次数:
- 0次
- 提 供 者:
- 杨*
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
卷积神经网络在GPU上的加速,很好的源代码-Convolution neural network acceleration on the GPU
(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\.config.mat
........................\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