逻辑回归代码

说明：  这是强化学习关于动态规划的例子，我们需要让智能体自己找到最好的策略。环境是一个5*5的格子，只有走到正确的格子下才能够获得奖励。通过这个例子对动态规划能有一个很好的了解。(This is an example of reinforcement learning about dynamic programming. We need to let agents find the best strategy for themselves. The environment is a 5*5 grid. Only when you get to the right grid can you get a reward. Through this example, we can have a good understanding of dynamic programming.)

说明：  使用python基于numpy编写函数和程序，完整实现了SC-FDE链路的仿真，包括调制、成型滤波、信道、同步、频偏补偿、均衡、解调。(Full realization of SC-FDE link simulation using python with functions based on numpy.)

使用Fortran编程，有限差分法计算雷诺方程(Reynolds equation calculated using Fortran programming, finite difference method)

说明：  什么是
变分自动编码器? 为了理解VAE，我们首先从最简单的网络说起，然后再一步一步添加额外的部分。一个描述神经网络的常见方法是近似一些我们想建模的函数。然而神经网络也可以被看做是携带信息的数据结构。假如我们有一个带有解卷积层的网络，我们设置输入为值全为1的向量，输出为一张图像。然后，我们可以训练这个网络去减小重构图像和原始图像的平均平方误差。那么训练完后，这个图像的信息就被保留在了网络的参数中。(What is a variational automatic encoder? To understand VAE, we start with the simplest network, and then add additional parts step by step. A common way to describe neural networks is to approximate some of the functions we want to model. However, neural networks can also be regarded as data structures carrying information. If we have a network with deconvolution layer, we set the input to a vector with all values of 1 and output to an image. Then, we can train the network to reduce the average square error between the reconstructed image and the original image. After training, the information of the image is retained in the parameters of the network.vae)

说明：  python基础系列第三弹，循环结构代码(Cyclic structure code)

说明：  gcm python算法 包含aes128 狂欢，(GCM Python algorithm includes AES 128 carnival,)

K-mean算法实现客户分类。 K-Means算法思想：（1）事先确定常数K，常数K意味着最终的聚类类别数，（2）首先随机选定初始点为质心，并通过计算每一个样本与质心之间的相似度(这里为欧式距离)，（3）将样本点归到最相似的类中，（4）接着，重新计算每个类的质心(即为类中心)，重复这样的过程，直到质心不再改变，最终就确定了每个样本所属的类别以及每个类的质心。(Implementing Customer Classification by K-means Algorithms)

使用pil库将某个文件夹下所有bmp图片拼成长图，挺实用的一个图片批处理代码

压缩包为 Python 学习手册，大家请解压看看，里面是PDF的。(Compressed package for Python learning manual, everyone please look at the pressure, which is PDF.)