文件名称:convlutional_network_GPU
介绍说明--下载内容来自于网络,使用问题请自行百度
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
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下载文件列表
convlutional_network_GPU/demo/demoMLCNN.m
convlutional_network_GPU/MaxPooling/.cproject
convlutional_network_GPU/MaxPooling/.project
convlutional_network_GPU/MaxPooling/.settings/org.eclipse.cdt.managedbuilder.core.prefs
convlutional_network_GPU/MaxPooling/.settings/org.eclipse.core.resources.prefs
convlutional_network_GPU/MaxPooling/MaxPooling.cpp
convlutional_network_GPU/MaxPooling/MaxPooling.m
convlutional_network_GPU/MaxPooling/MaxPooling.mexmaci64
convlutional_network_GPU/MaxPooling/MaxPooling.mexw64
convlutional_network_GPU/MaxPooling/MaxPooling.m~
convlutional_network_GPU/MaxPooling/README
convlutional_network_GPU/models/mlcnn.m
convlutional_network_GPU/readme.txt
convlutional_network_GPU/startLearning.m
convlutional_network_GPU/testData2.mat
convlutional_network_GPU/testLabels2.mat
convlutional_network_GPU/trainData2.mat
convlutional_network_GPU/trainLabels2.mat
convlutional_network_GPU/utils/checkMLNNGradients.m
convlutional_network_GPU/utils/checkNNGradients.m
convlutional_network_GPU/utils/dataProcessing.m
convlutional_network_GPU/utils/dataProcessing2.m
convlutional_network_GPU/utils/gpuDistribute.m
convlutional_network_GPU/utils/gpuGather.m
convlutional_network_GPU/utils/loadData.m
convlutional_network_GPU/utils/maxPooling.m
convlutional_network_GPU/utils/medalConstants.m
convlutional_network_GPU/utils/myScatter.m
convlutional_network_GPU/utils/notDefined.m
convlutional_network_GPU/utils/preProcessData.m
convlutional_network_GPU/utils/sc.m
convlutional_network_GPU/utils/sigmoid.m
convlutional_network_GPU/utils/softMax.m
convlutional_network_GPU/utils/softRect.m
convlutional_network_GPU/utils/subplottight.m
convlutional_network_GPU/MaxPooling/.settings
convlutional_network_GPU/demo
convlutional_network_GPU/MaxPooling
convlutional_network_GPU/models
convlutional_network_GPU/utils
convlutional_network_GPU
convlutional_network_GPU/MaxPooling/.cproject
convlutional_network_GPU/MaxPooling/.project
convlutional_network_GPU/MaxPooling/.settings/org.eclipse.cdt.managedbuilder.core.prefs
convlutional_network_GPU/MaxPooling/.settings/org.eclipse.core.resources.prefs
convlutional_network_GPU/MaxPooling/MaxPooling.cpp
convlutional_network_GPU/MaxPooling/MaxPooling.m
convlutional_network_GPU/MaxPooling/MaxPooling.mexmaci64
convlutional_network_GPU/MaxPooling/MaxPooling.mexw64
convlutional_network_GPU/MaxPooling/MaxPooling.m~
convlutional_network_GPU/MaxPooling/README
convlutional_network_GPU/models/mlcnn.m
convlutional_network_GPU/readme.txt
convlutional_network_GPU/startLearning.m
convlutional_network_GPU/testData2.mat
convlutional_network_GPU/testLabels2.mat
convlutional_network_GPU/trainData2.mat
convlutional_network_GPU/trainLabels2.mat
convlutional_network_GPU/utils/checkMLNNGradients.m
convlutional_network_GPU/utils/checkNNGradients.m
convlutional_network_GPU/utils/dataProcessing.m
convlutional_network_GPU/utils/dataProcessing2.m
convlutional_network_GPU/utils/gpuDistribute.m
convlutional_network_GPU/utils/gpuGather.m
convlutional_network_GPU/utils/loadData.m
convlutional_network_GPU/utils/maxPooling.m
convlutional_network_GPU/utils/medalConstants.m
convlutional_network_GPU/utils/myScatter.m
convlutional_network_GPU/utils/notDefined.m
convlutional_network_GPU/utils/preProcessData.m
convlutional_network_GPU/utils/sc.m
convlutional_network_GPU/utils/sigmoid.m
convlutional_network_GPU/utils/softMax.m
convlutional_network_GPU/utils/softRect.m
convlutional_network_GPU/utils/subplottight.m
convlutional_network_GPU/MaxPooling/.settings
convlutional_network_GPU/demo
convlutional_network_GPU/MaxPooling
convlutional_network_GPU/models
convlutional_network_GPU/utils
convlutional_network_GPU
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