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DeepLearnToolbox-master

于 2020-06-19 发布 文件大小:28871KB
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下载积分: 1 下载次数: 2
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代码说明：

  CNN,DBN算法可以对手写体数字进行识别，准确率高(CNN and DBN algorithm can recognize handwritten numerals with high accuracy)

文件列表：

DeepLearnToolbox-master, 0 , 2014-01-12
DeepLearnToolbox-master\.travis.yml, 249 , 2014-01-12
DeepLearnToolbox-master\CAE, 0 , 2014-01-12
DeepLearnToolbox-master\CAE\caeapplygrads.m, 1219 , 2014-01-12
DeepLearnToolbox-master\CAE\caebbp.m, 917 , 2014-01-12
DeepLearnToolbox-master\CAE\caebp.m, 1011 , 2014-01-12
DeepLearnToolbox-master\CAE\caedown.m, 259 , 2014-01-12
DeepLearnToolbox-master\CAE\caeexamples.m, 754 , 2014-01-12
DeepLearnToolbox-master\CAE\caenumgradcheck.m, 3618 , 2014-01-12
DeepLearnToolbox-master\CAE\caesdlm.m, 845 , 2014-01-12
DeepLearnToolbox-master\CAE\caetrain.m, 1148 , 2014-01-12
DeepLearnToolbox-master\CAE\caeup.m, 489 , 2014-01-12
DeepLearnToolbox-master\CAE\max3d.m, 173 , 2014-01-12
DeepLearnToolbox-master\CAE\scaesetup.m, 1937 , 2014-01-12
DeepLearnToolbox-master\CAE\scaetrain.m, 270 , 2014-01-12
DeepLearnToolbox-master\CNN, 0 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnapplygrads.m, 575 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnbp.m, 2141 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnff.m, 1774 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnnumgradcheck.m, 3430 , 2014-01-12
DeepLearnToolbox-master\CNN\cnnsetup.m, 2020 , 2014-01-12
DeepLearnToolbox-master\CNN\cnntest.m, 193 , 2014-01-12
DeepLearnToolbox-master\CNN\cnntrain.m, 845 , 2014-01-12
DeepLearnToolbox-master\CONTRIBUTING.md, 544 , 2014-01-12
DeepLearnToolbox-master\create_readme.sh, 744 , 2014-01-12
DeepLearnToolbox-master\data, 0 , 2014-01-12
DeepLearnToolbox-master\data\mnist_uint8.mat, 14735220 , 2014-01-12
DeepLearnToolbox-master\DBN, 0 , 2019-08-01
DeepLearnToolbox-master\DBN\allcomb.m, 2618 , 2014-01-12
DeepLearnToolbox-master\DBN\dbnsetup.m, 557 , 2014-01-12
DeepLearnToolbox-master\DBN\dbntrain.m, 232 , 2014-01-12
DeepLearnToolbox-master\DBN\dbnunfoldtonn.m, 425 , 2014-01-12
DeepLearnToolbox-master\DBN\expand.m, 1958 , 2014-01-12
DeepLearnToolbox-master\DBN\flicker.m, 208 , 2014-01-12
DeepLearnToolbox-master\DBN\flipall.m, 80 , 2014-01-12
DeepLearnToolbox-master\DBN\fliplrf.m, 543 , 2014-01-12
DeepLearnToolbox-master\DBN\flipudf.m, 576 , 2014-01-12
DeepLearnToolbox-master\DBN\guzhangNumber.xls, 406528 , 2019-06-03
DeepLearnToolbox-master\DBN\im2patches.m, 313 , 2014-01-12
DeepLearnToolbox-master\DBN\isOctave.m, 108 , 2014-01-12
DeepLearnToolbox-master\DBN\makeLMfilters.m, 1895 , 2014-01-12
DeepLearnToolbox-master\DBN\mnist_uint8.mat, 14735220 , 2014-01-12
DeepLearnToolbox-master\DBN\myOctaveVersion.m, 169 , 2014-01-12
DeepLearnToolbox-master\DBN\nnapplygrads.m, 628 , 2014-01-12
DeepLearnToolbox-master\DBN\nnbp.m, 1638 , 2014-01-12
DeepLearnToolbox-master\DBN\nnchecknumgrad.m, 704 , 2014-01-12
DeepLearnToolbox-master\DBN\nneval.m, 772 , 2014-01-12
DeepLearnToolbox-master\DBN\nnff.m, 1849 , 2014-01-12
DeepLearnToolbox-master\DBN\nnpredict.m, 188 , 2014-01-12
DeepLearnToolbox-master\DBN\nnsetup.m, 1844 , 2014-01-12
DeepLearnToolbox-master\DBN\nntest.m, 180 , 2014-01-12
DeepLearnToolbox-master\DBN\nntrain.m, 2414 , 2014-01-12
DeepLearnToolbox-master\DBN\nnupdatefigures.m, 1858 , 2014-01-12
DeepLearnToolbox-master\DBN\normalize.m, 97 , 2014-01-12
DeepLearnToolbox-master\DBN\patches2im.m, 242 , 2014-01-12
DeepLearnToolbox-master\DBN\randcorr.m, 283 , 2014-01-12
DeepLearnToolbox-master\DBN\randp.m, 2083 , 2014-01-12
DeepLearnToolbox-master\DBN\rbmdown.m, 90 , 2014-01-12
DeepLearnToolbox-master\DBN\rbmtrain.m, 1401 , 2014-01-12
DeepLearnToolbox-master\DBN\rbmup.m, 89 , 2014-01-12
DeepLearnToolbox-master\DBN\rnd.m, 49 , 2014-01-12
DeepLearnToolbox-master\DBN\sigm.m, 48 , 2014-01-12
DeepLearnToolbox-master\DBN\sigmrnd.m, 126 , 2014-01-12
DeepLearnToolbox-master\DBN\softmax.m, 256 , 2014-01-12
DeepLearnToolbox-master\DBN\tanh_opt.m, 54 , 2014-01-12
DeepLearnToolbox-master\DBN\visualize.m, 1072 , 2014-01-12
DeepLearnToolbox-master\DBN\whiten.m, 183 , 2014-01-12
DeepLearnToolbox-master\DBN\zscore.m, 137 , 2014-01-12
DeepLearnToolbox-master\LICENSE, 1313 , 2014-01-12
DeepLearnToolbox-master\NN, 0 , 2014-01-12
DeepLearnToolbox-master\NN\nnapplygrads.m, 628 , 2014-01-12
DeepLearnToolbox-master\NN\nnbp.m, 1638 , 2014-01-12
DeepLearnToolbox-master\NN\nnchecknumgrad.m, 704 , 2014-01-12
DeepLearnToolbox-master\NN\nneval.m, 772 , 2014-01-12
DeepLearnToolbox-master\NN\nnff.m, 1849 , 2014-01-12
DeepLearnToolbox-master\NN\nnpredict.m, 188 , 2014-01-12
DeepLearnToolbox-master\NN\nnsetup.m, 1844 , 2014-01-12
DeepLearnToolbox-master\NN\nntest.m, 180 , 2014-01-12
DeepLearnToolbox-master\NN\nntrain.m, 2414 , 2014-01-12
DeepLearnToolbox-master\NN\nnupdatefigures.m, 1858 , 2014-01-12
DeepLearnToolbox-master\README.md, 8730 , 2014-01-12
DeepLearnToolbox-master\README_header.md, 2256 , 2014-01-12
DeepLearnToolbox-master\REFS.md, 950 , 2014-01-12
DeepLearnToolbox-master\SAE, 0 , 2014-01-12
DeepLearnToolbox-master\SAE\saesetup.m, 132 , 2014-01-12
DeepLearnToolbox-master\SAE\saetrain.m, 308 , 2014-01-12
DeepLearnToolbox-master\tests, 0 , 2014-01-12
DeepLearnToolbox-master\tests\runalltests.m, 165 , 2014-01-12
DeepLearnToolbox-master\tests\test_cnn_gradients_are_numerically_correct.m, 552 , 2014-01-12
DeepLearnToolbox-master\tests\test_example_CNN.m, 981 , 2014-01-12
DeepLearnToolbox-master\tests\test_example_DBN.m, 1644 , 2019-08-01
DeepLearnToolbox-master\tests\test_example_NN.m, 3247 , 2014-01-12
DeepLearnToolbox-master\tests\test_example_SAE.m, 934 , 2014-01-12
DeepLearnToolbox-master\tests\test_nn_gradients_are_numerically_correct.m, 749 , 2014-01-12
DeepLearnToolbox-master\util, 0 , 2014-01-12
DeepLearnToolbox-master\util\allcomb.m, 2618 , 2014-01-12
DeepLearnToolbox-master\util\expand.m, 1958 , 2014-01-12
DeepLearnToolbox-master\util\flicker.m, 208 , 2014-01-12
DeepLearnToolbox-master\util\flipall.m, 80 , 2014-01-12
DeepLearnToolbox-master\util\fliplrf.m, 543 , 2014-01-12

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发表评论

0 个回复

  • matlabjianmo
    觉得很好的一个Matlab程序想和大家一起分享，互相学习。(A Matlab program feel good and you want to share, learn from each other.)
    2010-12-09 16:59:18下载
    积分：1
  • zabo33
    雷达中频相关视频杂波仿真，非常有用哦！！！！！！！！！！！！！(IF related videos radar clutter simulation, very useful)
    2013-09-29 08:26:20下载
    积分：1
  • distancemetriclearning
    度量学习，2009年的文章和程序，LMNN,基于最优化方法的度量学习算法(Metric study of article in 2009 and procedures, LMNN, a measure of the optimization method based on learning algorithm)
    2010-11-06 15:41:42下载
    积分：1
  • cod2cir0
    卷积码的仿真，其误码率实验值与理论值比较，调用函数，可以方便在以后的算法应用。(Simulation of a convolutional code, bit error rate value is compared with the theoretical value experiment, the calling function, the algorithm can be easily applied in the future.)
    2014-02-14 00:55:59下载
    积分：1
  • A-genetic-algorithm
    用于结合现有影像和新影像的多光谱图像处理工具的遗传算法，描述了基于遗传算法的监督分类等影像处理工具的程序实现。(For images and new images with the existing multi-spectral image processing tools, genetic algorithms, describes the classification based on genetic algorithms and other image processing tools to monitor the program implementation.)
    2011-05-11 15:47:05下载
    积分：1
  • 893EDB7Bd01
    which client get the socket
    2012-04-30 17:04:01下载
    积分：1
  • VMD程序
    变分模态分解的matlab程序，便于分析(Variational modal decomposition of the matlab program, easy to analyze)
    2017-10-11 10:40:14下载
    积分：1
  • VC-and-matlab
    这里介绍了VC与matlab的简单联合运用，初步学会结合(Here are the simple joint use of the VC and Matlab, initially learned to combine)
    2012-05-21 18:53:08下载
    积分：1
  • MT-forward
    MT正演修正法一维反演，适用于地震资料解释(MT Forward Amendment Act one-dimensional inversion for seismic data interpretation)
    2011-09-08 20:32:50下载
    积分：1
  • Compar_fuzzy_pid
    fuzzy pid and pid with disturbance included
    2012-09-26 19:04:47下载
    积分：1
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