文件名称:ver_0.82
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- 上传时间:2012-11-16
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文件大小:622.86kb
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已下载:0次
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介绍说明--下载内容来自于网络,使用问题请自行百度
此文件包包含用卷积神经网络识别手写输入的识别程序,数据可从MNIST下载-This release includes sample of handwritten digits recognition using CNN. If you just want to try it run cnet_tool. You ll see a simple GUI. It loads pretrained convolutional neural net from cnet.mat and recognizes image of digit either painted in painting area or downloaded from MNIST database.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
__MACOSX/
__MACOSX/ver 0.82/
__MACOSX/ver 0.82/@cnn/
__MACOSX/ver 0.82/@cnn/._adapt_dw.m
__MACOSX/ver 0.82/@cnn/._calchx.m
__MACOSX/ver 0.82/@cnn/._calcje.m
__MACOSX/ver 0.82/@cnn/._calcMCR.m
__MACOSX/ver 0.82/@cnn/._check_finit_dif.m
__MACOSX/ver 0.82/@cnn/._cnn.m
__MACOSX/ver 0.82/@cnn/._cnn_size.m
__MACOSX/ver 0.82/@cnn/._cutrain.m
__MACOSX/ver 0.82/@cnn/._init.m
__MACOSX/ver 0.82/@cnn/._sim.m
__MACOSX/ver 0.82/@cnn/._subsasgn.m
__MACOSX/ver 0.82/@cnn/._subsref.m
__MACOSX/ver 0.82/@cnn/._train.m
__MACOSX/ver 0.82/._@cnn
__MACOSX/ver 0.82/._back_conv2.m
__MACOSX/ver 0.82/._back_subsample.m
__MACOSX/ver 0.82/._changelog.txt
__MACOSX/ver 0.82/._cnet.mat
__MACOSX/ver 0.82/._cnet_tool.m
__MACOSX/ver 0.82/._cnn2singlestruct.m
__MACOSX/ver 0.82/._cnn_gui.fig
__MACOSX/ver 0.82/._cnn_gui.m
__MACOSX/ver 0.82/._cucalcMCR.m
__MACOSX/ver 0.82/._cutrain_cnn.m
__MACOSX/ver 0.82/._fastFilter2.m
__MACOSX/ver 0.82/._license.txt
__MACOSX/ver 0.82/._mse.m
__MACOSX/ver 0.82/._preproc_data.m
__MACOSX/ver 0.82/._preproc_image.m
__MACOSX/ver 0.82/._purelin.m
__MACOSX/ver 0.82/._rand_std.m
__MACOSX/ver 0.82/._readme.txt
__MACOSX/ver 0.82/._readMNIST.m
__MACOSX/ver 0.82/._readMNIST_image.m
__MACOSX/ver 0.82/._rot180.m
__MACOSX/ver 0.82/._singlestruct2cnn.m
__MACOSX/ver 0.82/._tansig_mod.m
__MACOSX/ver 0.82/._test_dgt.m
__MACOSX/ver 0.82/._train_cnn.m
__MACOSX/._ver 0.82
license.txt
ver 0.82/
ver 0.82/@cnn/
ver 0.82/@cnn/adapt_dw.m
ver 0.82/@cnn/calchx.m
ver 0.82/@cnn/calcje.m
ver 0.82/@cnn/calcMCR.m
ver 0.82/@cnn/check_finit_dif.m
ver 0.82/@cnn/cnn.m
ver 0.82/@cnn/cnn_size.m
ver 0.82/@cnn/cutrain.m
ver 0.82/@cnn/init.m
ver 0.82/@cnn/sim.m
ver 0.82/@cnn/subsasgn.m
ver 0.82/@cnn/subsref.m
ver 0.82/@cnn/train.m
ver 0.82/back_conv2.m
ver 0.82/back_subsample.m
ver 0.82/changelog.txt
ver 0.82/cnet.mat
ver 0.82/cnet_tool.m
ver 0.82/cnn2singlestruct.m
ver 0.82/cnn_gui.fig
ver 0.82/cnn_gui.m
ver 0.82/cucalcMCR.m
ver 0.82/cutrain_cnn.m
ver 0.82/fastFilter2.m
ver 0.82/license.txt
ver 0.82/mse.m
ver 0.82/preproc_data.m
ver 0.82/preproc_image.m
ver 0.82/purelin.m
ver 0.82/rand_std.m
ver 0.82/readme.txt
ver 0.82/readMNIST.m
ver 0.82/readMNIST_image.m
ver 0.82/rot180.m
ver 0.82/singlestruct2cnn.m
ver 0.82/subsample.m
ver 0.82/tansig_mod.m
ver 0.82/test_dgt.m
ver 0.82/train_cnn.m
__MACOSX/ver 0.82/
__MACOSX/ver 0.82/@cnn/
__MACOSX/ver 0.82/@cnn/._adapt_dw.m
__MACOSX/ver 0.82/@cnn/._calchx.m
__MACOSX/ver 0.82/@cnn/._calcje.m
__MACOSX/ver 0.82/@cnn/._calcMCR.m
__MACOSX/ver 0.82/@cnn/._check_finit_dif.m
__MACOSX/ver 0.82/@cnn/._cnn.m
__MACOSX/ver 0.82/@cnn/._cnn_size.m
__MACOSX/ver 0.82/@cnn/._cutrain.m
__MACOSX/ver 0.82/@cnn/._init.m
__MACOSX/ver 0.82/@cnn/._sim.m
__MACOSX/ver 0.82/@cnn/._subsasgn.m
__MACOSX/ver 0.82/@cnn/._subsref.m
__MACOSX/ver 0.82/@cnn/._train.m
__MACOSX/ver 0.82/._@cnn
__MACOSX/ver 0.82/._back_conv2.m
__MACOSX/ver 0.82/._back_subsample.m
__MACOSX/ver 0.82/._changelog.txt
__MACOSX/ver 0.82/._cnet.mat
__MACOSX/ver 0.82/._cnet_tool.m
__MACOSX/ver 0.82/._cnn2singlestruct.m
__MACOSX/ver 0.82/._cnn_gui.fig
__MACOSX/ver 0.82/._cnn_gui.m
__MACOSX/ver 0.82/._cucalcMCR.m
__MACOSX/ver 0.82/._cutrain_cnn.m
__MACOSX/ver 0.82/._fastFilter2.m
__MACOSX/ver 0.82/._license.txt
__MACOSX/ver 0.82/._mse.m
__MACOSX/ver 0.82/._preproc_data.m
__MACOSX/ver 0.82/._preproc_image.m
__MACOSX/ver 0.82/._purelin.m
__MACOSX/ver 0.82/._rand_std.m
__MACOSX/ver 0.82/._readme.txt
__MACOSX/ver 0.82/._readMNIST.m
__MACOSX/ver 0.82/._readMNIST_image.m
__MACOSX/ver 0.82/._rot180.m
__MACOSX/ver 0.82/._singlestruct2cnn.m
__MACOSX/ver 0.82/._tansig_mod.m
__MACOSX/ver 0.82/._test_dgt.m
__MACOSX/ver 0.82/._train_cnn.m
__MACOSX/._ver 0.82
license.txt
ver 0.82/
ver 0.82/@cnn/
ver 0.82/@cnn/adapt_dw.m
ver 0.82/@cnn/calchx.m
ver 0.82/@cnn/calcje.m
ver 0.82/@cnn/calcMCR.m
ver 0.82/@cnn/check_finit_dif.m
ver 0.82/@cnn/cnn.m
ver 0.82/@cnn/cnn_size.m
ver 0.82/@cnn/cutrain.m
ver 0.82/@cnn/init.m
ver 0.82/@cnn/sim.m
ver 0.82/@cnn/subsasgn.m
ver 0.82/@cnn/subsref.m
ver 0.82/@cnn/train.m
ver 0.82/back_conv2.m
ver 0.82/back_subsample.m
ver 0.82/changelog.txt
ver 0.82/cnet.mat
ver 0.82/cnet_tool.m
ver 0.82/cnn2singlestruct.m
ver 0.82/cnn_gui.fig
ver 0.82/cnn_gui.m
ver 0.82/cucalcMCR.m
ver 0.82/cutrain_cnn.m
ver 0.82/fastFilter2.m
ver 0.82/license.txt
ver 0.82/mse.m
ver 0.82/preproc_data.m
ver 0.82/preproc_image.m
ver 0.82/purelin.m
ver 0.82/rand_std.m
ver 0.82/readme.txt
ver 0.82/readMNIST.m
ver 0.82/readMNIST_image.m
ver 0.82/rot180.m
ver 0.82/singlestruct2cnn.m
ver 0.82/subsample.m
ver 0.82/tansig_mod.m
ver 0.82/test_dgt.m
ver 0.82/train_cnn.m
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