文件名称:DBN知识M
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matlab编写的对于机器学习的各种程序，帮助理解与应用。(Matlab for machine learning programs, to help understand and apply.)
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| Deep-Learning-DBN-From-the-ground-up-master | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\.gitattributes | 378 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\.gitignore | 649 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Backpropagation MLP [xor] | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Backpropagation MLP [xor]\BP2layersXOR.m | 5517 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Backpropagation MLP [xor]\sigma.m | 580 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Binary Perceptron [Classification] | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Binary Perceptron [Classification]\PerceptonTrn.m | 2394 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Binary Perceptron [Classification]\PerceptonTst.m | 1050 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Binary Perceptron [Classification]\Percepton_2C_Classification.m | 2411 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Boltzmann Machines[Classification] | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Boltzmann Machines[Classification]\Boltzman_Machine_Algorithm.m | 12808 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Boltzmann Machines[Classification]\CalcEnrgy.m | 637 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\CalcErrorRate.m | 954 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\CalcRmse.m | 1038 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\Evaluation_DBN_MNIST.m | 1707 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\FineTuning.m | 4715 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\GLWUP.m | 1078 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\SetLinearMapping.m | 1053 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\StackingRBMs.m | 1464 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\Train_DBN_MNIST.m | 3027 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\Train_and_Test.m | 625 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\h2v.m | 1346 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\linearMapping.m | 745 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\mnistbbdbn.mat | 4770186 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\mnistread.m | 2968 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\pretrainRBM.m | 5406 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\randRBM.m | 1422 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\sigmoid.m | 653 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\t10k-images-idx3-ubyte | 7840016 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\t10k-labels-idx1-ubyte | 10008 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\train-images-idx3-ubyte | 47040016 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\train-labels-idx1-ubyte | 60008 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\v2h.m | 1385 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\DBN on MNIST\v2hall.m | 1139 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Hopfield [Classification] | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Hopfield [Classification]\CalcEnrgy.m | 638 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Hopfield [Classification]\Hopfield_Bin.m | 5766 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Hopfield [Classification]\RandNoise.m | 721 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\LICENCE.txt | 714 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Linear_Regression [single variable] | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Linear_Regression [single variable]\Perceptron_Linear_Regression.m | 3670 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Linear_Regression [single variable]\computeCost.m | 1067 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Linear_Regression [single variable]\ex2x.dat | 850 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Linear_Regression [single variable]\ex2y.dat | 850 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Linear_Regression [single variable]\gradientDescent.m | 1622 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Logistic Regression [single variable] | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Logistic Regression [single variable]\Perceptron_Logistic_Regression.m | 3190 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\Challenging_Simulated_Annealing.m | 2308 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\Gibbs_Sampling.m | 2322 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\MC_Flip_coin.m | 1622 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\MC_Multiple_fnctns.m | 2135 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\MC_Roll_die.m | 1680 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\MC_integration_Pi_Estimation.m | 1750 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\MC_integration_by_AR.m | 1312 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\MC_integration_by_M.m | 1332 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\Metropolis_Hasting.m | 2763 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\PCfunction.m | 661 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\Pfunction.m | 609 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Monte Carlo Simulation\Simulated_Annealing.m | 2444 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Polynomian Regression [single variable] | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Polynomian Regression [single variable]\Perceptron_Polynomial_Regression.m | 5481 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\README.txt | 2584 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Restricted _BM_Algorithm | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\Restricted _BM_Algorithm\RBM_Algorithm.m | 7282 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\SOM_Kohonen [Classification] | 0 | 2017-04-29 |
| Deep-Learning-DBN-From-the-ground-up-master\SOM_Kohonen [Classification]\KohonenSOM.m | 8627 | 2017-04-29 |