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DeepLearnToolbox-master

于 2020-10-12 发布 文件大小:14406KB
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代码说明：

  基于matlab的深度学习算法，可用于深度学习入门(Based on the depth of learning matlab algorithm can be used for deep learning, such as doors)

文件列表：

DeepLearnToolbox-master
.......................\.travis.yml,249,2015-12-01
.......................\CAE
.......................\...\caeapplygrads.m,1219,2015-12-01
.......................\...\caebbp.m,917,2015-12-01
.......................\...\caebp.m,1011,2015-12-01
.......................\...\caedown.m,259,2015-12-01
.......................\...\caeexamples.m,754,2015-12-01
.......................\...\caenumgradcheck.m,3618,2015-12-01
.......................\...\caesdlm.m,845,2015-12-01
.......................\...\caetrain.m,1148,2015-12-01
.......................\...\caeup.m,489,2015-12-01
.......................\...\max3d.m,173,2015-12-01
.......................\...\scaesetup.m,1937,2015-12-01
.......................\...\scaetrain.m,270,2015-12-01
.......................\CNN
.......................\...\cnnapplygrads.m,575,2015-12-01
.......................\...\cnnbp.m,2141,2015-12-01
.......................\...\cnnff.m,1774,2015-12-01
.......................\...\cnnnumgradcheck.m,3430,2015-12-01
.......................\...\cnnsetup.m,2020,2015-12-01
.......................\...\cnntest.m,193,2015-12-01
.......................\...\cnntrain.m,845,2015-12-01
.......................\CONTRIBUTING.md,544,2015-12-01
.......................\create_readme.sh,744,2015-12-01
.......................\data
.......................\....\mnist_uint8.mat,14735220,2015-12-01
.......................\DBN
.......................\...\dbnsetup.m,557,2015-12-01
.......................\...\dbntrain.m,232,2015-12-01
.......................\...\dbnunfoldtonn.m,425,2015-12-01
.......................\...\rbmdown.m,90,2015-12-01
.......................\...\rbmtrain.m,1401,2015-12-01
.......................\...\rbmup.m,89,2015-12-01
.......................\htm" target=_blank>LICENSE,1313,2015-12-01
.......................\NN
.......................\..\nnapplygrads.m,628,2015-12-01
.......................\..\nnbp.m,1638,2015-12-01
.......................\..\nnchecknumgrad.m,704,2015-12-01
.......................\..\nneval.m,811,2015-12-01
.......................\..\nnff.m,1849,2015-12-01
.......................\..\nnpredict.m,192,2015-12-01
.......................\..\nnsetup.m,1844,2015-12-01
.......................\..\nntest.m,184,2015-12-01
.......................\..\nntrain.m,2414,2015-12-01
.......................\..\nnupdatefigures.m,1858,2015-12-01
.......................\README.md,8861,2015-12-01
.......................\README_header.md,2244,2015-12-01
.......................\REFS.md,950,2015-12-01
.......................\SAE
.......................\...\saesetup.m,132,2015-12-01
.......................\...\saetrain.m,308,2015-12-01
.......................\tests
.......................\.....\runalltests.m,165,2015-12-01
.......................\.....\test_cnn_gradients_are_numerically_correct.m,552,2015-12-01
.......................\.....\test_example_CNN.m,981,2015-12-01
.......................\.....\test_example_DBN.m,1031,2015-12-01
.......................\.....\test_example_NN.m,3247,2015-12-01
.......................\.....\test_example_SAE.m,934,2015-12-01
.......................\.....\test_nn_gradients_are_numerically_correct.m,749,2015-12-01
.......................\util
.......................\....\allcomb.m,2618,2015-12-01
.......................\....\expand.m,1958,2015-12-01
.......................\....\flicker.m,208,2015-12-01
.......................\....\flipall.m,80,2015-12-01
.......................\....\fliplrf.m,543,2015-12-01
.......................\....\flipudf.m,576,2015-12-01
.......................\....\im2patches.m,313,2015-12-01
.......................\....\isOctave.m,108,2015-12-01
.......................\....\makeLMfilters.m,1895,2015-12-01
.......................\....\myOctaveVersion.m,169,2015-12-01
.......................\....\normalize.m,97,2015-12-01
.......................\....\patches2im.m,242,2015-12-01
.......................\....\randcorr.m,283,2015-12-01
.......................\....\randp.m,2083,2015-12-01
.......................\....\rnd.m,49,2015-12-01
.......................\....\sigm.m,48,2015-12-01
.......................\....\sigmrnd.m,126,2015-12-01
.......................\....\softmax.m,256,2015-12-01
.......................\....\tanh_opt.m,54,2015-12-01
.......................\....\visualize.m,1072,2015-12-01
.......................\....\whiten.m,183,2015-12-01
.......................\....\zscore.m,137,2015-12-01

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0 个回复

  • matlaba
    matlab代码 各种信息 对于初学者很有用(matlab code a variety of useful information for beginners)
    2013-04-11 10:59:30下载
    积分：1
  • Matlab-fuzzy-PID
    基于Matlab下规则PID控制系统的参数自整定程序(Matlab fuzzy rule parameters PID control system based on self-tuning procedure)
    2014-06-03 20:23:21下载
    积分：1
  • BPSK2
    可以比较简单实现通信系统中BPSK算法，是其他算法的基础(Can be relatively simple algorithm to achieve communication systems, BPSK, is the basis for other algorithms)
    2009-12-11 21:22:54下载
    积分：1
  • tma_ekf
    说明：  扩展卡尔曼滤波算法是目前最常用的非线性滤波算法之一，其核心思想就是将非线性模型线性化后，然后采用标准的卡尔曼滤波算法进行迭代滤波，这是一种最基本的解决非线性滤波问题的方法，目前在目标跟踪领域得到了广泛的运用。(Extended Kalman filter is the most commonly used one of nonlinear filtering algorithm, the core idea is that the nonlinear model is linearized, and then apply the standard Kalman filtering algorithm to filter, which is one of the most solve the basic problem of nonlinear filtering methods, the current target tracking has been widely used.)
    2011-03-19 11:57:01下载
    积分：1
  • DFO_IM_S
    matlab simulation of diredt rotor flux oriented vector control of induction motor mith matlab code mmmmmmmmmmmmmmmmmmmmm
    2014-08-15 03:55:25下载
    积分：1
  • 1
    说明：  基于MR的频率优化，详细描述MR频率优化的计算方法(Optimization based on the frequency of MR, MR detailed description of the method of calculating the frequency optimization)
    2011-10-09 16:05:08下载
    积分：1
  • The_third_time
    永磁同步电机矢量控制的仿真搭建，基于PID控制以及滑模控制，分数阶PID控制和分数阶滑模控制等(Permanent magnet synchronous motor vector control simulation, based on the PID control and sliding mode control, fractional order PID control and the fractional order sliding mode control, etc )
    2021-05-08 20:08:35下载
    积分：1
  • SVM_luzhenbo
    非常好的一个matlab的SVM的程序源码，已经修改了错误，可以直接使用(Very good a matlab program source code of SVM, have modified a mistake, can use directly )
    2012-04-30 11:53:26下载
    积分：1
  • burg
    实现burg算法 估计信号的功率谱PSD 不是简单的调用库函数(Achieve burg algorithm to estimate the power spectrum of the signal PSD is not a simple function call library)
    2014-12-01 16:45:51下载
    积分：1
  • ademod
    in this file wrote digital modulation function for about all digital modulation
    2014-01-04 10:02:48下载
    积分：1
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