关于盲源分离的

说明：  主要基于微信小程序获取RSSI信号，然后发送至后台进行算法解析，后台再将解析出来的信息发送到前端(The RSSI signal is obtained mainly based on the WeChat applet, and then sent to the background for algorithm analysis, and the parsed information is sent to the front end in the background.)

通过四则运算得24的计算方法显示；特别是整数只能通过小数运算，得到24的神奇解。

说明：  逻辑回归模型训练分类器并可视化（每一行表示一个样本，每一行有三个数值，其中前两个值代表输入属性x，最后一个值代表标签y）(The classifier is trained and visualized by logistic regression model)

训练一个深度学习的循环神经网络，可实现获取公开数据集并进行训练，框架为Pytorch(Training a deep learning circular neural network can achieve the acquisition and training of open data sets, and the framework is Pytorch)

说明：  去噪和堆栈自编码去实现对mnist数据集的降维和去噪演示，主要体现自编码流程(Denoising and stack autoencoder)

说明：  一个可运行的pycharm平台开发的系统。有简单的前端界面。(A system developed by pycharm platform. There is a simple front-end interface.)

说明：  lstm时间序列的python语言，可以参考(Python language of LSTM time series)

python语言程序，实现功能是刷新浪微博粉丝。(Python language program, the realization of wave function is to refresh the weibo fans.)

how ti op ln fvc dethj thfsq htr yfs gd hf

说明：  以slam为核心的python实现代码，包含可视化组件(some slam code with the python script)