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Title: MyCnn Download
 Description: Using VS2012 to achieve the handwritten numeral recognition of the convolution neural network algorithm, using the MNIST library as an input
 Downloaders recently: [More information of uploader Du]
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MyCnn
.....\Debug
.....\.....\MyCnn.exe
.....\.....\MyCnn.exe.manifest
.....\.....\MyCnn.ilk
.....\.....\MyCnn.pdb
.....\ipch
.....\....\mycnn-33c8d8a3
.....\....\..............\mycnn-174a5bb1.ipch
.....\....\mycnn-a6b2705d
.....\....\..............\mycnn-174a5bb1.ipch
.....\MyCnn
.....\MyCnn.sdf
.....\MyCnn.sln
.....\MyCnn.v11.suo
.....\.....\Debug
.....\.....\.....\CL.read.1.tlog
.....\.....\.....\CL.write.1.tlog
.....\.....\.....\link-cvtres.read.1.tlog
.....\.....\.....\link-cvtres.write.1.tlog
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.....\.....\.....\mt.read.1.tlog
.....\.....\.....\mt.write.1.tlog
.....\.....\.....\MyCnn.exe.intermediate.manifest
.....\.....\.....\MyCnn.lastbuildstate
.....\.....\.....\MyCnn.log
.....\.....\.....\MyCnn.obj
.....\.....\.....\MyCnn.pch
.....\.....\.....\stdafx.obj
.....\.....\.....\test_cuda.cu.cache
.....\.....\.....\test_cuda.cu.deps
.....\.....\.....\test_cuda.cu.obj
.....\.....\.....\vc110.idb
.....\.....\.....\vc110.pdb
.....\.....\LeNet-weights
.....\.....\MyCnn.cpp
.....\.....\MyCnn.vcxproj
.....\.....\MyCnn.vcxproj.filters
.....\.....\MyCnn.vcxproj.user
.....\.....\ReadMe.txt
.....\.....\stdafx.cpp
.....\.....\stdafx.h
.....\.....\targetver.h
.....\.....\test_cuda.cu
.....\.....\tiny_cnn
.....\.....\........\activations
.....\.....\........\...........\activation_function.h
.....\.....\........\config.h
.....\.....\........\io
.....\.....\........\..\caffe
.....\.....\........\..\.....\caffe.proto
.....\.....\........\..\.....\layer_factory.h
.....\.....\........\..\.....\layer_factory_impl.h
.....\.....\........\..\cifar10_parser.h
.....\.....\........\..\display.h
.....\.....\........\..\layer_factory.h
.....\.....\........\..\mnist_parser.h
.....\.....\........\layers
.....\.....\........\......\average_pooling_layer.h
.....\.....\........\......\convolutional_layer.h
.....\.....\........\......\dropout_layer.h
    

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