python实现中文分词

这是一个简单爬虫百度图片，使用python内置爬虫工具request和HTMLParser，爬取得的图片保存在upload文件目录下

说明：  本文是2016 台湾资料科学年会前导课程“一天搞懂深度学习”的全部讲义PPT（共268页），由台湾大学电机工程学助理教授李宏毅主讲。作者在文中分四个部分对神经网络的原理、目前存在形态以及未来的发展进行了介绍。深度学习的每一个核心概念在文中都有相关案例进行呈现，通俗易懂。一天的时间搞懂深度学习？其实并不是没有可能。(This is the entire handout PPT (268 pages in total) of "a day to understand deep learning", the leading course of the 2016 Taiwan annual conference of data science. It was given by li hongyi, assistant professor of electrical engineering at Taiwan university.In this paper, the author introduces the principle, existing form and future development of neural network in four parts.Each core concept of deep learning is presented in relevant cases, which are easy to understand.)

说明：  简单的LSTM进行预测，附带数据集方便测试(simple test of LSTM is used for prediction , and related datasets is attached in the file.)

利用python爬虫爬取贴吧头像及贴吧ID(Use Python crawler crawling stick stick head and stick it ID)

k-means聚类 此程序按经纬度聚类，k=3000聚类，实验数据集为16万，检测可用(K-means clustering is based on latitude and longitude clustering, k=3000 clustering, experimental data set is 160 thousand, detection available.)

此文件用于激光雷达数据读取，以及各种操作等等(This document is used for lidar data reading and various operations.)

通过使用opencv、scipy和python检测运动人前额信号的微小rgb变化，实现用视频估计心率。(Implemented estimating heart rate using video by detecting the minute RGB changes in signals from the forehead of a moving person using OpenCV, Scipy and Python)

说明：  DBSCAN（Density-Based Spatial Clustering of Applications with Noise） 为一种基于密度的聚类算法，它不仅可以找出具有任何形状的簇，而且还可以用于检测离群值。其基本思想为数据点分布紧凑的应被划分为一类，而周围未分布有或仅有极少数点的数据点则有可能为离群值。通过python实现了该聚类方法的计算。(DBSCAN (density based spatial clustering of applications with noise) is a density based clustering algorithm. It can not only find clusters with any shape, but also detect outliers. The basic idea is that the data points with compact distribution should be divided into a class, while the data points with few or no distribution around may be outliers. This clustering method is implemented by python.)

预测股票价格与成交价格 等多种因素的关系，通过python和神经网络实现预测(prediction the stock price)

说明：  图片识别分割，人工智能/神经网络/深度学习/数值算法(Image recognition segmentation, artificial intelligence/neural network/deep learning/numerical algorithm)