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