# DeepLearningTutorial

**Repository Path**: helloMRDJ/DeepLearningTutorial

## Basic Information

- **Project Name**: DeepLearningTutorial
- **Description**: Deep learning tutorial in Chinese/深度学习教程中文版
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-02
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Deep Learning Tutorial in Chinese
=================================
深度学习教程中文版
=================================

This is a `Chinese tutorial` which is translated from [DeepLearning 0.1 documentation](http://deeplearning.net/tutorial/contents.html#). And in this tutorial, all algorithms and models are coded by Python and [Theano](http://deeplearning.net/software/theano/index.html). 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](http://deeplearning.net/tutorial/contents.html)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](http://deeplearning.net/software/theano/index.html)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）](https://github.com/Syndrome777/DeepLearningTutorial/blob/master/1_Getting_Started_入门.md)
* [使用逻辑回归进行MNIST分类(Classifying MNIST digits using Logistic Regression)](https://github.com/Syndrome777/DeepLearningTutorial/blob/master/2_Classifying_MNIST_using_LR_逻辑回归进行MNIST分类.md)
* [多层感知机（Multilayer Perceptron）](https://github.com/Syndrome777/DeepLearningTutorial/blob/master/3_Multilayer_Perceptron_多层感知机.md)
* [卷积神经网络（Convolutional Neural Networks(LeNet)）](https://github.com/Syndrome777/DeepLearningTutorial/blob/master/4_Convoltional_Neural_Networks_LeNet_卷积神经网络.md)
* [降噪自动编码机器（Denoising Autoencoders(dA)）](https://github.com/Syndrome777/DeepLearningTutorial/blob/master/5_Denoising_Autoencoders_降噪自动编码.md)
* [层叠自动编码机(Stcaked Denoising Autoencoders(SdA))](https://github.com/Syndrome777/DeepLearningTutorial/blob/master/6_Stacked_Denoising_Autoencoders_层叠降噪自动编码机.md)
* [受限波尔兹曼机（Restricted Boltzmann Machines(RBM)）](https://github.com/Syndrome777/DeepLearningTutorial/blob/master/7_Restricted_Boltzmann_Machine_受限波尔兹曼机.md)
* 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](http://deeplearning.net/tutorial/LICENSE.html), LISA lab, University of Montreal
#### 翻译者/Translator
[Lifeng Hua](https://github.com/Syndrome777), Zhejiang University