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DeepLearnToolbox-master

于 2020-12-16 发布
0 150
下载积分: 1 下载次数: 3

代码说明:

说明:  深度学习的工具箱,里面有卷积神经网络等的一些代码(Deep learning toolbox, which contains some codes such as convolutional neural network.)

文件列表:

DeepLearnToolbox-master\.travis.yml, 249 , 2015-12-01
DeepLearnToolbox-master\CAE\caeapplygrads.m, 1219 , 2015-12-01
DeepLearnToolbox-master\CAE\caebbp.m, 917 , 2015-12-01
DeepLearnToolbox-master\CAE\caebp.m, 1011 , 2015-12-01
DeepLearnToolbox-master\CAE\caedown.m, 259 , 2015-12-01
DeepLearnToolbox-master\CAE\caeexamples.m, 754 , 2015-12-01
DeepLearnToolbox-master\CAE\caenumgradcheck.m, 3618 , 2015-12-01
DeepLearnToolbox-master\CAE\caesdlm.m, 845 , 2015-12-01
DeepLearnToolbox-master\CAE\caetrain.m, 1148 , 2015-12-01
DeepLearnToolbox-master\CAE\caeup.m, 489 , 2015-12-01
DeepLearnToolbox-master\CAE\max3d.m, 173 , 2015-12-01
DeepLearnToolbox-master\CAE\scaesetup.m, 1937 , 2015-12-01
DeepLearnToolbox-master\CAE\scaetrain.m, 270 , 2015-12-01
DeepLearnToolbox-master\CNN\cnnapplygrads.m, 575 , 2015-12-01
DeepLearnToolbox-master\CNN\cnnbp.m, 2141 , 2015-12-01
DeepLearnToolbox-master\CNN\cnnff.m, 1774 , 2015-12-01
DeepLearnToolbox-master\CNN\cnnnumgradcheck.m, 3430 , 2015-12-01
DeepLearnToolbox-master\CNN\cnnsetup.m, 2020 , 2015-12-01
DeepLearnToolbox-master\CNN\cnntest.m, 193 , 2015-12-01
DeepLearnToolbox-master\CNN\cnntrain.m, 845 , 2015-12-01
DeepLearnToolbox-master\CONTRIBUTING.md, 544 , 2015-12-01
DeepLearnToolbox-master\create_readme.sh, 744 , 2015-12-01
DeepLearnToolbox-master\data\mnist_uint8.mat, 14735220 , 2015-12-01
DeepLearnToolbox-master\DBN\dbnsetup.m, 557 , 2015-12-01
DeepLearnToolbox-master\DBN\dbntrain.m, 232 , 2015-12-01
DeepLearnToolbox-master\DBN\dbnunfoldtonn.m, 425 , 2015-12-01
DeepLearnToolbox-master\DBN\rbmdown.m, 90 , 2015-12-01
DeepLearnToolbox-master\DBN\rbmtrain.m, 1401 , 2015-12-01
DeepLearnToolbox-master\DBN\rbmup.m, 89 , 2015-12-01
DeepLearnToolbox-master\LICENSE, 1313 , 2015-12-01
DeepLearnToolbox-master\NN\nnapplygrads.m, 628 , 2015-12-01
DeepLearnToolbox-master\NN\nnbp.m, 1638 , 2015-12-01
DeepLearnToolbox-master\NN\nnchecknumgrad.m, 704 , 2015-12-01
DeepLearnToolbox-master\NN\nneval.m, 811 , 2015-12-01
DeepLearnToolbox-master\NN\nnff.m, 1849 , 2015-12-01
DeepLearnToolbox-master\NN\nnpredict.m, 192 , 2015-12-01
DeepLearnToolbox-master\NN\nnsetup.m, 1844 , 2015-12-01
DeepLearnToolbox-master\NN\nntest.m, 184 , 2015-12-01
DeepLearnToolbox-master\NN\nntrain.m, 2414 , 2015-12-01
DeepLearnToolbox-master\NN\nnupdatefigures.m, 1858 , 2015-12-01
DeepLearnToolbox-master\README.md, 8861 , 2015-12-01
DeepLearnToolbox-master\README_header.md, 2244 , 2015-12-01
DeepLearnToolbox-master\REFS.md, 950 , 2015-12-01
DeepLearnToolbox-master\SAE\saesetup.m, 132 , 2015-12-01
DeepLearnToolbox-master\SAE\saetrain.m, 308 , 2015-12-01
DeepLearnToolbox-master\tests\runalltests.m, 165 , 2015-12-01
DeepLearnToolbox-master\tests\test_cnn_gradients_are_numerically_correct.m, 552 , 2015-12-01
DeepLearnToolbox-master\tests\test_example_CNN.m, 981 , 2015-12-01
DeepLearnToolbox-master\tests\test_example_DBN.m, 1031 , 2015-12-01
DeepLearnToolbox-master\tests\test_example_NN.m, 3247 , 2015-12-01
DeepLearnToolbox-master\tests\test_example_SAE.m, 934 , 2015-12-01
DeepLearnToolbox-master\tests\test_nn_gradients_are_numerically_correct.m, 749 , 2015-12-01
DeepLearnToolbox-master\util\allcomb.m, 2618 , 2015-12-01
DeepLearnToolbox-master\util\expand.m, 1958 , 2015-12-01
DeepLearnToolbox-master\util\flicker.m, 208 , 2015-12-01
DeepLearnToolbox-master\util\flipall.m, 80 , 2015-12-01
DeepLearnToolbox-master\util\fliplrf.m, 543 , 2015-12-01
DeepLearnToolbox-master\util\flipudf.m, 576 , 2015-12-01
DeepLearnToolbox-master\util\im2patches.m, 313 , 2015-12-01
DeepLearnToolbox-master\util\isOctave.m, 108 , 2015-12-01
DeepLearnToolbox-master\util\makeLMfilters.m, 1895 , 2015-12-01
DeepLearnToolbox-master\util\myOctaveVersion.m, 169 , 2015-12-01
DeepLearnToolbox-master\util\normalize.m, 97 , 2015-12-01
DeepLearnToolbox-master\util\patches2im.m, 242 , 2015-12-01
DeepLearnToolbox-master\util\randcorr.m, 283 , 2015-12-01
DeepLearnToolbox-master\util\randp.m, 2083 , 2015-12-01
DeepLearnToolbox-master\util\rnd.m, 49 , 2015-12-01
DeepLearnToolbox-master\util\sigm.m, 48 , 2015-12-01
DeepLearnToolbox-master\util\sigmrnd.m, 126 , 2015-12-01
DeepLearnToolbox-master\util\softmax.m, 256 , 2015-12-01
DeepLearnToolbox-master\util\tanh_opt.m, 54 , 2015-12-01
DeepLearnToolbox-master\util\visualize.m, 1072 , 2015-12-01
DeepLearnToolbox-master\util\whiten.m, 183 , 2015-12-01
DeepLearnToolbox-master\util\zscore.m, 137 , 2015-12-01
DeepLearnToolbox-master\CAE, 0 , 2015-12-01
DeepLearnToolbox-master\CNN, 0 , 2015-12-01
DeepLearnToolbox-master\data, 0 , 2015-12-01
DeepLearnToolbox-master\DBN, 0 , 2015-12-01
DeepLearnToolbox-master\NN, 0 , 2015-12-01
DeepLearnToolbox-master\SAE, 0 , 2015-12-01
DeepLearnToolbox-master\tests, 0 , 2015-12-01
DeepLearnToolbox-master\util, 0 , 2015-12-01
DeepLearnToolbox-master, 0 , 2015-12-01

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发表评论

0 个回复

  • pso
    个程序就是最基本的粒子群优化算法程序,用Matlab实现,非常简单。是主函数的源程序,优化函数则以m文件的形式放在fitness.m里面,对不同的优化函数只要修改fitness.m就可以了通用性很强。(Procedures is the most basic particle swarm optimization procedures, using Matlab realize, is very simple. Is the main function of the source, optimizing the function with m the form of documents on fitness.m inside, optimized for different functions as long as the modifications can fitness.m highly generic.)
    2008-04-15 13:21:12下载
    积分:1
  • GradHerm.matlab
    说明:  上传RBF源程序,希望能对大家学习有所帮助,并请提出宝贵的意见和建议!(upload source, in hopes of learning we can help, and requested the valuable advice and suggestions!)
    2006-05-10 17:13:05下载
    积分:1
  • psbmosconv
    准谐振变流器matlab/simulink仿真程序,观察模型特性(quasi-resonant converter Matlab/Simulink simulation program to observe the model characteristics)
    2006-10-11 19:40:13下载
    积分:1
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    This is a model of a LIGHTNING CURRENT in simulink in order to be used in a simulation
    2011-12-28 07:49:26下载
    积分:1
  • Chapter1
    psk,fsk等调制的基于matlab仿真,由仿真结果看出其性能的差别(psk, fsk modulation, such as matlab-based simulation, the simulation results that the performance difference)
    2008-04-30 02:14:42下载
    积分:1
  • Rayleigh_ofdm1
    包括ofdm调制解调, LS信道估计,DFT信道估计,改进DFT信道估计(Including ofdm modem, LS channel estimation, DFT channel estimation to improve channel estimation DFT)
    2014-10-24 18:21:50下载
    积分:1
  • RAMIN
    FOR HELP AND DOCUMENT FOR POWER ROBO SOCCER
    2015-03-06 20:44:30下载
    积分:1
  • 论述了风力发电并网的PLL技术
    论述了风力发电并网的PLL技术,基于传统PI-PLL技术基础上,以双同步旋转坐标系建立电网电压不平衡的数学模型。(mbalance of power grid voltage phase lock loop)
    2020-10-19 09:07:25下载
    积分:1
  • matlabcodetracking
    wsn target tracking using matlab error model
    2011-01-08 13:09:13下载
    积分:1
  • turing1
    How to create a turing pattern.
    2011-06-20 17:24:28下载
    积分:1
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