SCUC

说明：  基于卷积神经网络的案例，使用初学者使用和学习(Case Study Based on Convolutional Neural Network)

利用python调用新浪api接口实现的新浪微博数据的挖掘，能够获取指定的经纬度地点的微博动态信息，还能够将其写入MySQL数据库中。

说明：  Python3 for Data Analysis, a handbook,a table for studying python3.

说明：  Python自带GUi编辑器Tkinter入门教程(Python comes with GUi editor Tkinter introductory tutorial)

CSO source code for protein complex prediction in large PPI networks

斯坦福大学吴恩达机器学习视频课程的源代码(Source Code for Stanford University Wu Enda Machine Learning Video Course)

基于MXNet深度学习框架，定义CNN模型，训练手写数字识别数据，得到较高的准确率。这是一个基础的深度学习分类任务，值得借鉴。(Based on MXNet deep learning framework, CNN model is defined and handwritten digit recognition data is trained to obtain higher accuracy. This is a basic task of deep learning classification, which is worth learning from.)

说明：  利用brisk算法对两张图片进行特征检测，并且实现图像拼接。(The brisk algorithm is used to detect the features of the two images and realize the image mosaic.)

吴恩达深度学习微专业课程一配套作业，jupyter notebook格式的(Wu enda deep learning micro professional course a matching homework)

说明：  用马尔可夫蒙特卡罗抽样从抽取样本，并拟合总体分布：正态分布、beta分布、t分布(Markov Monte Carlo sampling was used to extract samples and fit the population distribution: normal distribution, beta distribution and t distribution.)