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网络数据包捕获查看工具, 支持三种 数据包捕获方式： 1、Raw嗅探 2、Hook指定进程API，截获数据包 3、端口数据转发(Network Packet Capture and View Tool supports three ways of data packet capture: 1. Raw Sniffer 2. Hook Specifies Process API, Intercepts Packet 3, Port Data Forwarding)

新浪微博的爬虫程序。程序运行方式：保存所有代码后，打开Main.py，修改LoginName为你的新浪微博帐号，PassWord为你的密码。运行Main.py，程序会在当前目录下生成CrawledPages文件夹，并保存所有爬取到的文件在这个文件夹中。(Sina microblogging reptiles. Program operation: save all the code, open Main.py, modify LoginName for your Sina Weibo account, PassWord for your password. Run Main.py, the program will generate CrawledPages in the current directory folder and save all files to crawling in this folder.)

用于修改voc格式的xml标签#################(XML tags for modifying VOC format)

说明：  在许多情况下，利用深度学习算法搭建的神经网络模型都需妥进行某 种形式的优化。 这非常重要，只有经过优化的网络，才能在训练之后达到 不错的解决问题的效果。 优化的最直接目的就是使参数更加准确地更新。 一般神经网络的训练过程大致可以分为两个阶段：第一个阶段先通过 前向传播算法计算得到预测值，并将预测值和真实值做对比，得出两者之 间的差距；在第二个阶段，通过反向传播算法计算损失函数对每一个参数 的梯度，再根据梯度和学习率使用梯度下降算法更新每一个参数。(In many cases, the neural network model built by deep learning algorithm needs to be optimized in some form. This is very important, only after the optimization of the network, in order to achieve good results in solving problems after training. The most direct purpose of optimization is to update parameters more accurately. The training process of general neural network can be roughly divided into two stages: in the first stage, the predicted value is calculated by the forward propagation algorithm, and the difference between the predicted value and the real value is obtained; in the second stage, the loss function is calculated by the back-propagation algorithm for each parameter According to the gradient and learning rate, the gradient descent algorithm is used to update each parameter.)

说明：  Sherlock - Find usernames across social networks

使用Python编写的AI程序Pacman，可以适合AI的初学者，有BFS, DFS, UCS, A Star 运行的命令在commands.txt文件里 可以用 bash commands.txt演示(AI programs written in Python Pacman, AI can fit beginners, there BFS, DFS, UCS, the command runs in commands.txt A Star file can bash commands.txt demo)

1、建立数据矩阵 2、数据的归一化 3、确定指标的最优值和最劣值 4、计算出各单元指标值与最优值和最劣值的距离 5、求出各单元指标值与最优值的相对接近程度

Cart-pole problem solition with python

学习python网路爬虫必备，对这方面学习非常有用。(Necessary for learning Python crawler)

首先说一下环境，windows 8.0 64位系统，OpenCV版本为2.4.7, Python 版本为2.7.6，IDE为 64位 Anaconda 目的是实现图像的Gabor特征提取，分三个小程序完成 首先说一下环境，windows 8.0 64位系统，OpenCV版本为2.4.7, Python 版本为2.7.6，IDE为 64位 Anaconda 目的是实现图像的Gabor特征提取，分三个小程序完成