Python K-Means Clustering with Cosine Similarity

基于Python的有关深度学习的入门级的参考原码，有助于学习深度学习。(Python-based reference codes for entry-level in-depth learning are helpful for in-depth learning.)

【实例简介】

加上Coolprop库后，可以在Python软件中进行ORC的计算(With the addition of the Coolprop library, the ORC calculation can be done in Python software)

用户注册 登录 修改密码 基础家电控制(User registration, login, password modification, basic household appliances control)

在这本书里，我们将看到一些机器学习的模型和算法。我们会介绍一些常用的机器学习任务和模型的效果评估方法。而这些模型和算法都是通过十分流行的Python机器学习库scikit-learn来完成，里面有许多机器学习的模型和算法，每个API都简单易用(In this book, we will look at some machine learning models and algorithms.We will introduce some commonly used methods for evaluating the effects of machine learning tasks and models.These models and algorithms are built using the popular Python machine learning library scikit-learn, which has many machine learning models and algorithms, and each API is easy to use)

说明：  相关性矩阵源代码，用于计算已知数据的相关性系数(Relevance matrix source code, used to calculate the correlation coefficient of known data)

用GAN实现样本生成，深度学习框架为TensorFlow(to generate samples)

说明：  python代码实现的LOF算法代码(为什么会有人去做这么无聊的事情呢。。。）(Python code implements LOF algorithm code. (Why would anyone do such a boring thing?))

tensorflow下用LSTM网络进行时间序列预测，实时多变量预测以及对于未来数据的单变量预测。

关于gnuradio中各个信号处理模块的简单介绍，我自己整理的。(Brief introduction about of gnuradio each signal processing module, myself.)