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.

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

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