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DeepLearnToolbox-master

于 2014-08-25 发布 文件大小:14397KB
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下载积分: 1 下载次数: 178

代码说明:

  深度学习matlab工具箱,深度学习初学者有用的入门资料(toolbox of deep learning for matlab)

文件列表:

DeepLearnToolbox-master
.......................\.travis.yml,249,2014-05-11
.......................\CAE
.......................\...\caeapplygrads.m,1219,2014-05-11
.......................\...\caebbp.m,917,2014-05-11
.......................\...\caebp.m,1011,2014-05-11
.......................\...\caedown.m,259,2014-05-11
.......................\...\caeexamples.m,754,2014-05-11
.......................\...\caenumgradcheck.m,3618,2014-05-11
.......................\...\caesdlm.m,845,2014-05-11
.......................\...\caetrain.m,1148,2014-05-11
.......................\...\caeup.m,489,2014-05-11
.......................\...\max3d.m,173,2014-05-11
.......................\...\scaesetup.m,1937,2014-05-11
.......................\...\scaetrain.m,270,2014-05-11
.......................\CNN
.......................\...\cnnapplygrads.m,575,2014-05-11
.......................\...\cnnbp.m,2141,2014-05-11
.......................\...\cnnff.m,1774,2014-05-11
.......................\...\cnnnumgradcheck.m,3430,2014-05-11
.......................\...\cnnsetup.m,2020,2014-05-11
.......................\...\cnntest.m,193,2014-05-11
.......................\...\cnntrain.m,845,2014-05-11
.......................\CONTRIBUTING.md,544,2014-05-11
.......................\create_readme.sh,744,2014-05-11
.......................\data
.......................\....\mnist_uint8.mat,14735220,2014-05-11
.......................\DBN
.......................\...\dbnsetup.m,557,2014-05-11
.......................\...\dbntrain.m,232,2014-05-11
.......................\...\dbnunfoldtonn.m,425,2014-05-11
.......................\...\rbmdown.m,90,2014-05-11
.......................\...\rbmtrain.m,1401,2014-05-11
.......................\...\rbmup.m,89,2014-05-11
.......................\htm" target=_blank>LICENSE,1313,2014-05-11
.......................\NN
.......................\..\nnapplygrads.m,628,2014-05-11
.......................\..\nnbp.m,1638,2014-05-11
.......................\..\nnchecknumgrad.m,704,2014-05-11
.......................\..\nneval.m,811,2014-05-11
.......................\..\nnff.m,1849,2014-05-11
.......................\..\nnpredict.m,192,2014-05-11
.......................\..\nnsetup.m,1844,2014-05-11
.......................\..\nntest.m,184,2014-05-11
.......................\..\nntrain.m,2414,2014-05-11
.......................\..\nnupdatefigures.m,1858,2014-05-11
.......................\README.md,8730,2014-05-11
.......................\README_header.md,2256,2014-05-11
.......................\REFS.md,950,2014-05-11
.......................\SAE
.......................\...\saesetup.m,132,2014-05-11
.......................\...\saetrain.m,308,2014-05-11
.......................\tests
.......................\.....\runalltests.m,165,2014-05-11
.......................\.....\test_cnn_gradients_are_numerically_correct.m,552,2014-05-11
.......................\.....\test_example_CNN.m,981,2014-05-11
.......................\.....\test_example_DBN.m,1031,2014-05-11
.......................\.....\test_example_NN.m,3247,2014-05-11
.......................\.....\test_example_SAE.m,934,2014-05-11
.......................\.....\test_nn_gradients_are_numerically_correct.m,749,2014-05-11
.......................\util
.......................\....\allcomb.m,2618,2014-05-11
.......................\....\expand.m,1958,2014-05-11
.......................\....\flicker.m,208,2014-05-11
.......................\....\flipall.m,80,2014-05-11
.......................\....\fliplrf.m,543,2014-05-11
.......................\....\flipudf.m,576,2014-05-11
.......................\....\im2patches.m,313,2014-05-11
.......................\....\isOctave.m,108,2014-05-11
.......................\....\makeLMfilters.m,1895,2014-05-11
.......................\....\myOctaveVersion.m,169,2014-05-11
.......................\....\normalize.m,97,2014-05-11
.......................\....\patches2im.m,242,2014-05-11
.......................\....\randcorr.m,283,2014-05-11
.......................\....\randp.m,2083,2014-05-11
.......................\....\rnd.m,49,2014-05-11
.......................\....\sigm.m,48,2014-05-11
.......................\....\sigmrnd.m,126,2014-05-11
.......................\....\softmax.m,256,2014-05-11
.......................\....\tanh_opt.m,54,2014-05-11
.......................\....\visualize.m,1072,2014-05-11
.......................\....\whiten.m,183,2014-05-11
.......................\....\zscore.m,137,2014-05-11

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    积分:1
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    2013-01-19 23:06:50下载
    积分:1
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    MeanShift运动目标跟踪 matlab程序 思路: 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧, 先随机取一块与rect等大的矩形,计算加权直方图hist2。 4.计算两者比重函数,如果后者差距过大, 更新新的矩阵中心Y,进行迭代(MeanShift是一种变步长可以迅速接近概率密度峰值的方法),直至一定条件后停止。 (MeanShift moving target tracking matlab program ideas: 1. Interception target tracking matrix rect 2. Strike target tracking weighted histogram hist1 3. Reading of a video sequence, first randomly selected one with such a large rectangle rect, calculate the weighted Histogram hist2. 4 Calculate the proportion of both functions, if the latter gap is too large, updated new matrix center Y, iterative (MeanShift is a variable step size can rapidly approaching the peak of the probability density method), until certain conditions stop.)
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