文件名称:stanford-deep-learning-matlab-code
介绍说明－－下载内容均来自于网络，请自行研究使用
Stanford 大学的深度学习源代码，可用于模式识别和预测，比较稳定。(Stanford University's deep learning source code can be used for pattern recognition and prediction, and is relatively stable.)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| cnnConvolve.m | 3702 | 2013-04-12 |
| cnnExercise.m | 9289 | 2013-04-12 |
| sparseAutoencoderLinearCost.m | 4261 | 2013-04-11 |
| softmaxExercise.m | 4796 | 2013-04-10 |
| checkStackedAECost.m | 1745 | 2013-04-10 |
| softmaxCost.m | 1281 | 2013-04-10 |
| softmaxPredict.m | 849 | 2013-04-10 |
| sparseAutoencoderCost.m | 3865 | 2013-04-09 |
| stlExercise.m | 5514 | 2013-04-07 |
| feedForwardAutoencoder.m | 1304 | 2013-04-07 |
| loadMNISTImages.m | 835 | 2013-04-03 |
| pca_gen.m | 6377 | 2013-04-03 |
| pca_2d.m | 3426 | 2013-04-01 |
| trainMNIST.m | 1830 | 2013-03-11 |
| train.m | 5796 | 2013-03-11 |
| sparseAutoencoderCost - 副本.m | 4104 | 2013-03-11 |
| computeNumericalGradient.m | 1115 | 2013-03-11 |
| sampleIMAGES.m | 2120 | 2013-03-10 |
| linearDecoderExercise.m | 5346 | 2011-07-16 |
| displayColorNetwork.m | 1233 | 2011-05-22 |
| stackedAEExercise.m | 7412 | 2011-05-13 |
| softmaxTrain.m | 1891 | 2011-05-10 |
| stackedAEPredict.m | 1296 | 2011-05-09 |
| stackedAECost.m | 3100 | 2011-05-09 |
| params2stack.m | 1174 | 2011-05-09 |
| stack2params.m | 1653 | 2011-05-09 |
| display_network.m | 2647 | 2011-04-29 |
| sampleIMAGESRAW.m | 696 | 2011-04-29 |
| loadMNISTLabels.m | 516 | 2011-04-25 |
| checkNumericalGradient.m | 1982 | 2011-01-05 |
| initializeParameters.m | 622 | 2011-01-05 |
| cnnPool.m | 1641 | 2013-04-12 |