This is a Chinese tutorial which is translated from DeepLearning 0.1 documentation. And in this tutorial, all algorithms and models are coded by Python and Theano. Theano is a famous third-party library, and allows coder to use GPU or CPU to run his Python code.

这是一个翻译自深度学习0.1文档的中文教程。在这个教程里面所有的算法和模型都是通过Pyhton和Theano实现的。Theano是一个著名的第三方库，允许程序员使用GPU或者CPU去运行他的Python代码。

##内容/Contents

• 入门（Getting Started）
• 使用逻辑回归进行MNIST分类(Classifying MNIST digits using Logistic Regression)
• 多层感知机（Multilayer Perceptron）
• 卷积神经网络（Convolutional Neural Networks(LeNet)）
• 降噪自动编码机器（Denoising Autoencoders(dA)）
• 层叠自动编码机(Stcaked Denoising Autoencoders(SdA))
• 受限波尔兹曼机（Restricted Boltzmann Machines(RBM)）
• Deep Belif Networks
• Hybrid Monte-Carlo Sampling
• Recurrent Neural Networks with Word Embeddings
• Modeling and generating sequences of polyphonic music the RNN-RBM
• Miscellaneous

##版权/Copyright ####作者/Author Theano Development Team, LISA lab, University of Montreal ####翻译者/Translator Lifeng Hua, Zhejiang University