文件列表:

DeepLearnToolbox-master (0, 2015-12-04)
DeepLearnToolbox-master\.travis.yml (249, 2015-12-04)
DeepLearnToolbox-master\CAE (0, 2015-12-04)
DeepLearnToolbox-master\CAE\caeapplygrads.m (1219, 2015-12-04)
DeepLearnToolbox-master\CAE\caebbp.m (917, 2015-12-04)
DeepLearnToolbox-master\CAE\caebp.m (1011, 2015-12-04)
DeepLearnToolbox-master\CAE\caedown.m (259, 2015-12-04)
DeepLearnToolbox-master\CAE\caeexamples.m (754, 2015-12-04)
DeepLearnToolbox-master\CAE\caenumgradcheck.m (3618, 2015-12-04)
DeepLearnToolbox-master\CAE\caesdlm.m (845, 2015-12-04)
DeepLearnToolbox-master\CAE\caetrain.m (1148, 2015-12-04)
DeepLearnToolbox-master\CAE\caeup.m (489, 2015-12-04)
DeepLearnToolbox-master\CAE\max3d.m (173, 2015-12-04)
DeepLearnToolbox-master\CAE\scaesetup.m (1937, 2015-12-04)
DeepLearnToolbox-master\CAE\scaetrain.m (270, 2015-12-04)
DeepLearnToolbox-master\CNN (0, 2015-12-04)
DeepLearnToolbox-master\CNN\cnnapplygrads.m (575, 2015-12-04)
DeepLearnToolbox-master\CNN\cnnbp.m (2141, 2015-12-04)
DeepLearnToolbox-master\CNN\cnnff.m (1774, 2015-12-04)
DeepLearnToolbox-master\CNN\cnnnumgradcheck.m (3430, 2015-12-04)
DeepLearnToolbox-master\CNN\cnnsetup.m (2020, 2015-12-04)
DeepLearnToolbox-master\CNN\cnntest.m (193, 2015-12-04)
DeepLearnToolbox-master\CNN\cnntrain.m (845, 2015-12-04)
DeepLearnToolbox-master\CONTRIBUTING.md (544, 2015-12-04)
DeepLearnToolbox-master\DBN (0, 2015-12-04)
DeepLearnToolbox-master\DBN\dbnsetup.m (557, 2015-12-04)
DeepLearnToolbox-master\DBN\dbntrain.m (232, 2015-12-04)
DeepLearnToolbox-master\DBN\dbnunfoldtonn.m (425, 2015-12-04)
DeepLearnToolbox-master\DBN\rbmdown.m (90, 2015-12-04)
DeepLearnToolbox-master\DBN\rbmtrain.m (1401, 2015-12-04)
DeepLearnToolbox-master\DBN\rbmup.m (89, 2015-12-04)
DeepLearnToolbox-master\LICENSE (1313, 2015-12-04)
DeepLearnToolbox-master\NN (0, 2015-12-04)
DeepLearnToolbox-master\NN\nnapplygrads.m (628, 2015-12-04)
DeepLearnToolbox-master\NN\nnbp.m (1638, 2015-12-04)
DeepLearnToolbox-master\NN\nnchecknumgrad.m (704, 2015-12-04)
DeepLearnToolbox-master\NN\nneval.m (811, 2015-12-04)
DeepLearnToolbox-master\NN\nnff.m (1849, 2015-12-04)
... ...

ANN2 ====== 神经网络实验程序2, 使用Matlab工具箱进行简单的数字图像识别的程序 使用前请确保安装Matlab2013及以后兼容版本, python3解释器 ### 训练数据的生成 gen.py 是自行编写的验证码生成脚本, 会在train目录下生成图像数据, 请根据需要调整数据规模 ### DeepLearnToolbox 本实验程序采用Matlab的自带bp算法,和DeepLearn工具箱中的卷积神经网络,两种算法分别进行处理, 由于卷积神经网络训练缓慢, 会缓存cnn_save.mat文件作为训练后的缓存 本程序属学习实验用程序, 未经任何测试, 仅供参考 MIT协议

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