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c_code_dbn
- 这是深度置信网的C++版本。 rbm.h 实现自动编码. mnist.h 读取MNIST数据文件 spectrum.inl RGBs与颜色的映射 demo.cc 训练/测试主程序-The deep learning algorithm is based on the matlab code provided by Geoff Hinton etc at http://www.cs.toronto.edu/~hinton/MatlabForSciencePaper.html
NumberRecognize
- 根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。-According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the r
DeepLearnToolbox-master
- 这是关于深度学习的一些很重要的代码 包括基础的深度学习 RBM等，还有用深度学习去训练神经网络-This is about the depth of learning, including some very important code based on the depth of learning RBM, as well as by the depth of learning to train the neural network, etc.
CNN.tar
- 卷积神经网路 包括了MLP层，conv层，pooling层，RBM层，LRN层，采用xml配置文件设置参数，实现训练识别-Convolution neural network, including the MLP layer, conv layer, pooling layer, RBM layer, LRN layer, using xml configuration file to set parameters to achieve recognition training
Autoencoder_Code
- 深度学习的代码，用于手写数字体识别，包括了受限玻尔兹曼机(RBM)网络的实现-Code provided by Ruslan Salakhutdinov and Geoff Hinton
RBM-Matlab-master
- Training set for DNN