文件名称:deep-belief-network
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- 上传时间:2016-12-26
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文件大小:58.31mb
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已下载:1次
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训练一个深度网络,并应用于MNIST库上进行字体识别-Training a deep autoencoder or a classifier
on MNIST digits
on MNIST digits
(系统自动生成,下载前可以参看下载内容)
下载文件列表
deep belief network\Autoencoder_Code\backprop.m
...................\................\backpropclassify.m
...................\................\CG_CLASSIFY.m
...................\................\CG_CLASSIFY_INIT.m
...................\................\CG_MNIST.m
...................\................\converter.m
...................\................\makebatches.m
...................\................\mnistclassify.m
...................\................\mnistdeepauto.m
...................\................\mnistdisp.m
...................\................\rbm.m
...................\................\rbmhidlinear.m
...................\................\README.txt
...................\Autoencoder_Code.tar
...................\backprop.m
...................\backpropclassify.m
...................\CG_CLASSIFY.m
...................\CG_CLASSIFY_INIT.m
...................\CG_MNIST.m
...................\converter.m
...................\digit0.ascii
...................\digit0.mat
...................\digit1.ascii
...................\digit1.mat
...................\digit2.ascii
...................\digit2.mat
...................\digit3.ascii
...................\digit3.mat
...................\digit4.ascii
...................\digit4.mat
...................\digit5.ascii
...................\digit5.mat
...................\digit6.ascii
...................\digit6.mat
...................\digit7.ascii
...................\digit7.mat
...................\digit8.ascii
...................\digit8.mat
...................\digit9.ascii
...................\digit9.mat
...................\makebatches.m
...................\makebatches1.m
...................\minimize.m
...................\mnistclassify.m
...................\mnistdeepauto.m
...................\mnistdisp.m
...................\mnisthp.mat
...................\mnisthp2.mat
...................\mnistpo.mat
...................\mnistvh.mat
...................\rbm.m
...................\rbmhidlinear.m
...................\README.txt
...................\t10k-images-idx3-ubyte.gz
...................\t10k-images.idx3-ubyte
...................\t10k-labels-idx1-ubyte.gz
...................\t10k-labels.idx1-ubyte
...................\test0.ascii
...................\test0.mat
...................\test1.ascii
...................\test1.mat
...................\test2.ascii
...................\test2.mat
...................\test3.ascii
...................\test3.mat
...................\test4.ascii
...................\test4.mat
...................\test5.ascii
...................\test5.mat
...................\test6.ascii
...................\test6.mat
...................\test7.ascii
...................\test7.mat
...................\test8.ascii
...................\test8.mat
...................\test9.ascii
...................\test9.mat
...................\train-images-idx3-ubyte.gz
...................\train-images.idx3-ubyte
...................\train-labels-idx1-ubyte.gz
...................\train-labels.idx1-ubyte
...................\Autoencoder_Code
deep belief network
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